Triple
T4156033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicobarese languages |
E91415
|
entity |
| Predicate | languageFamilyOf |
P35117
|
FINISHED |
| Object |
Teressa language
Teressa language is an Austroasiatic language spoken by the Nicobarese community on Teressa Island in India’s Nicobar Islands.
|
E417502
|
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: Teressa language | Statement: [Nicobarese languages, languageFamilyOf, Teressa language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teressa language Context triple: [Nicobarese languages, languageFamilyOf, Teressa language]
-
A.
Teda language
The Teda language is a Saharan language spoken primarily by the Teda (northern Toubou) people of the Tibesti region in Chad and southern Libya.
-
B.
Teso language
Teso language is an Eastern Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
-
C.
Amuesha language
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Tat language
Tat language is an endangered Southwestern Iranian language spoken primarily by the Tat people of Azerbaijan and neighboring regions, distinct from but related to Judeo-Tat.
- 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: Teressa language Triple: [Nicobarese languages, languageFamilyOf, Teressa language]
Generated description
Teressa language is an Austroasiatic language spoken by the Nicobarese community on Teressa Island in India’s Nicobar Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teressa language Target entity description: Teressa language is an Austroasiatic language spoken by the Nicobarese community on Teressa Island in India’s Nicobar Islands.
-
A.
Teda language
The Teda language is a Saharan language spoken primarily by the Teda (northern Toubou) people of the Tibesti region in Chad and southern Libya.
-
B.
Teso language
Teso language is an Eastern Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
-
C.
Amuesha language
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Tat language
Tat language is an endangered Southwestern Iranian language spoken primarily by the Tat people of Azerbaijan and neighboring regions, distinct from but related to Judeo-Tat.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af028e3e5c8190bc1d5a9b9dff1d14 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3c0d7c819098d67e012ef30818 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b580260a588190a2e1a84513a8c72f |
completed | March 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b580c46e7481908aa13c6d7c6e36de |
completed | March 14, 2026, 3:37 p.m. |
Created at: March 9, 2026, 3:44 p.m.