Triple
T22169986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nili District |
E547893
|
entity |
| Predicate | adminCenter |
P3892
|
FINISHED |
| Object | Nili |
—
|
NE NERFINISHED |
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: Nili | Statement: [Nili District, adminCenter, Nili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nili Context triple: [Nili District, adminCenter, Nili]
-
A.
Nili
chosen
Nili is a small town in central Afghanistan that serves as the administrative and economic hub of Daykundi Province.
-
B.
Nila
Nila is a small volcanic island in Indonesia’s Banda Sea, known for its active volcano and remote location within the Inner Banda Arc.
-
C.
Nila
Nila is a major river in the Indian state of Kerala, culturally renowned for its historical significance and role in the region’s literature and traditions.
-
D.
Nila
Nila is a small settlement located in the Shortland Islands of the Solomon Islands in the South Pacific.
-
E.
Nila
Nila is a heroic figure in the Ramayana, renowned as one of the monkey warriors who played a key role in Rama’s battle against Ravana’s forces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a67f4dc81909cc5f8d2c1fe6129 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.