Triple
T3298854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geʽez script |
E69281
|
entity |
| Predicate | usedForLanguage |
P907
|
FINISHED |
| Object |
Meʼen language
The Meʼen language is a Surmic language spoken by the Meʼen people of southwestern Ethiopia.
|
E347534
|
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: Meʼen language | Statement: [Geʽez script, usedForLanguage, Meʼen language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meʼen language Context triple: [Geʽez script, usedForLanguage, Meʼen language]
-
A.
Ghomara language
The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
C.
Padoe language
The Padoe language is an Austronesian language spoken by the Padoe people of Sulawesi, Indonesia, and is part of the broader South Sulawesi linguistic group.
-
D.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
E.
Toraja-Saʼdan language
The Toraja-Saʼdan language is an Austronesian language spoken primarily by the Toraja people in the highland regions of South Sulawesi, Indonesia.
- 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: Meʼen language Triple: [Geʽez script, usedForLanguage, Meʼen language]
Generated description
The Meʼen language is a Surmic language spoken by the Meʼen people of southwestern Ethiopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meʼen language Target entity description: The Meʼen language is a Surmic language spoken by the Meʼen people of southwestern Ethiopia.
-
A.
Ghomara language
The Ghomara language is a lesser-known Berber language spoken by the Ghomara people in northern Morocco.
-
B.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
C.
Padoe language
The Padoe language is an Austronesian language spoken by the Padoe people of Sulawesi, Indonesia, and is part of the broader South Sulawesi linguistic group.
-
D.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
E.
Toraja-Saʼdan language
The Toraja-Saʼdan language is an Austronesian language spoken primarily by the Toraja people in the highland regions of South Sulawesi, Indonesia.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a49b748190b6db99a85c3cb3c5 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3d759908190b1f5170930ff03c5 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2f9ec098c8190aaa763d7b9c5cceb |
completed | March 12, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b316408090819090a4792b3d5185f0 |
completed | March 12, 2026, 7:38 p.m. |
Created at: March 8, 2026, 3:11 p.m.