Triple
T11093568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara languages |
E262315
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Fer language
Fer language is a Central Sudanic language spoken by the Fer people of the Central African Republic and surrounding regions.
|
E904335
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fer language | Statement: [Sara languages, hasMember, Fer language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fer language Context triple: [Sara languages, hasMember, Fer language]
-
A.
Fang language
Fang is a Bantu language spoken primarily by the Fang people of Equatorial Guinea, Gabon, and Cameroon, notable for its significant influence on local varieties of Spanish and French.
-
B.
Phong language
The Phong language is a lesser-known Vietic language spoken by an ethnic minority community in Laos.
-
C.
Mara language
The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
-
D.
Pear language
Pear language is an Austroasiatic language of the Pearic branch spoken by the Pear people of Cambodia and considered highly endangered.
-
E.
Eiffel programming language
Eiffel is an object-oriented programming language designed by Bertrand Meyer that emphasizes software correctness through features like Design by Contract and strong support for modular, reusable code.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fer language Triple: [Sara languages, hasMember, Fer language]
Generated description
Fer language is a Central Sudanic language spoken by the Fer people of the Central African Republic and surrounding regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fer language Target entity description: Fer language is a Central Sudanic language spoken by the Fer people of the Central African Republic and surrounding regions.
-
A.
Fang language
Fang is a Bantu language spoken primarily by the Fang people of Equatorial Guinea, Gabon, and Cameroon, notable for its significant influence on local varieties of Spanish and French.
-
B.
Phong language
The Phong language is a lesser-known Vietic language spoken by an ethnic minority community in Laos.
-
C.
Mara language
The Mara language is a Kuki-Chin language spoken primarily by the Mara people in parts of northeastern India and western Myanmar.
-
D.
Pear language
Pear language is an Austroasiatic language of the Pearic branch spoken by the Pear people of Cambodia and considered highly endangered.
-
E.
Eiffel programming language
Eiffel is an object-oriented programming language designed by Bertrand Meyer that emphasizes software correctness through features like Design by Contract and strong support for modular, reusable code.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799ed12d88190a4ad8c346d68f11f |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7d3043c8190bdbe0ec51992db0c |
completed | April 18, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69e3f2cbb4708190a328cff473104d14 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f497a01881909d1dae70a02e5f97 |
completed | April 18, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:27 p.m.