Triple
T9031933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phom Naga |
E216391
|
entity |
| Predicate | neighboringNagaGroups |
P11274
|
FINISHED |
| Object | Ao Naga |
E216387
|
NE FINISHED |
How this triple was built (2 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: Ao Naga | Statement: [Phom Naga, neighboringNagaGroups, Ao Naga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ao Naga Context triple: [Phom Naga, neighboringNagaGroups, Ao Naga]
-
A.
Ao Naga
chosen
Ao Naga are a major Naga ethnic group of northeastern India, known for their distinct Tibeto-Burman language, rich folk traditions, and influential role in the cultural and political life of Nagaland.
-
B.
Maram Naga
Maram Naga are an indigenous Naga community primarily inhabiting parts of Manipur in Northeast India, known for their distinct language, customs, and traditional village institutions.
-
C.
Anao
Anao is a small agricultural municipality located in the province of Tarlac in the Philippines.
-
D.
Nagapasha
Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
-
E.
Na-Ga
Na-Ga is a Japanese illustrator and character designer best known for his work with the visual novel studio Key, including designs for series like Angel Beats! and Little Busters!.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6a9f2c7481909b4a272183f20585 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbc9c6e08190aa71d84316afc6d5 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:08 p.m.