Triple
T10761110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosi division |
E253826
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Supaul |
E264563
|
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: Supaul | Statement: [Kosi division, hasUrbanCenter, Supaul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Supaul Context triple: [Kosi division, hasUrbanCenter, Supaul]
-
A.
Supaul
chosen
Supaul is a town in the Indian state of Bihar known primarily as an administrative and commercial center for the surrounding region.
-
B.
Rolla
"Rolla" is a famous 1878 painting by French artist Henri Gervex that depicts a sensual bedroom scene inspired by a poem by Alfred de Musset.
-
C.
Ruston
Ruston is a surname most notably associated with Joseph Victor Anthony Ruston, better known as the actor and humanitarian Audrey Hepburn’s father.
-
D.
Sedalia
Sedalia is a small town in Guilford County, North Carolina, known for its historic African American educational institution, the Palmer Memorial Institute.
-
E.
Paris, Missouri
Paris, Missouri is a small rural city that serves as the county seat of Monroe County in northeastern Missouri, United States.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a14c7481909c6f4f9b15dc130f |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55bb98ec8190914031643c1c7a97 |
completed | April 14, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:16 p.m.