Triple
T6148392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tani languages |
E137136
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Tagin language
The Tagin language is a Tani (Tibeto-Burman) language spoken primarily by the Tagin people of Arunachal Pradesh in northeastern India.
|
E572283
|
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: Tagin language | Statement: [Tani languages, hasMember, Tagin language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagin language Context triple: [Tani languages, hasMember, Tagin language]
-
A.
Tigak language
The Tigak language is an Austronesian language spoken by the Tigak people of New Ireland Province in Papua New Guinea.
-
B.
Jarai language
The Jarai language is an Austronesian language spoken by the Jarai people of Vietnam’s Central Highlands and neighboring Cambodia.
-
C.
Tanema language
Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
-
D.
Segai language
The Segai language is an Austronesian language spoken by the Segai people of Borneo, belonging to the Kayanic subgroup.
-
E.
Tyap language
Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
- 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: Tagin language Triple: [Tani languages, hasMember, Tagin language]
Generated description
The Tagin language is a Tani (Tibeto-Burman) language spoken primarily by the Tagin people of Arunachal Pradesh in northeastern India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tagin language Target entity description: The Tagin language is a Tani (Tibeto-Burman) language spoken primarily by the Tagin people of Arunachal Pradesh in northeastern India.
-
A.
Tigak language
The Tigak language is an Austronesian language spoken by the Tigak people of New Ireland Province in Papua New Guinea.
-
B.
Jarai language
The Jarai language is an Austronesian language spoken by the Jarai people of Vietnam’s Central Highlands and neighboring Cambodia.
-
C.
Tanema language
Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
-
D.
Segai language
The Segai language is an Austronesian language spoken by the Segai people of Borneo, belonging to the Kayanic subgroup.
-
E.
Tyap language
Tyap language is a Plateau language of the Niger-Congo family spoken predominantly by the Atyap people in southern Kaduna State, Nigeria.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce07fb081909278088e9e2e2959 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13603730881909b3991c7262509b5 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c139f6f11c81909eb0b2ab809de079 |
completed | March 23, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13a5f53ec8190be24f37fc5fb7f32 |
completed | March 23, 2026, 1:04 p.m. |
Created at: March 22, 2026, 4:16 p.m.