Triple
T19731363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faizabad division |
E473860
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Gauriganj |
—
|
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: Gauriganj | Statement: [Faizabad division, hasSettlement, Gauriganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gauriganj Context triple: [Faizabad division, hasSettlement, Gauriganj]
-
A.
Gauriganj
chosen
Gauriganj is a town in the Indian state of Uttar Pradesh that serves as the administrative and political center of the Amethi region.
-
B.
Bikramganj
Bikramganj is a town in the Rohtas district of Bihar, India, known as a local commercial and educational center for surrounding rural areas.
-
C.
Gairatganj
Gairatganj is a town in the Raisen district of the central Indian state of Madhya Pradesh.
-
D.
Sitarganj
Sitarganj is a town in the Udham Singh Nagar district of Uttarakhand, India, known for its agricultural surroundings and growing industrial development.
-
E.
Bhadgaon
Bhadgaon is another name for Bhaktapur, a historic Newar city in the Kathmandu Valley of Nepal renowned for its well-preserved medieval architecture, art, and culture.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649fd18148190a6e85b2be0069dde |
completed | April 20, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:47 p.m.