Triple
T7730729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harike Barrage |
E175244
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Harike |
E100572
|
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: Harike | Statement: [Harike Barrage, locatedNear, Harike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harike Context triple: [Harike Barrage, locatedNear, Harike]
-
A.
Harike
chosen
Harike is a town in Punjab, India, best known for the Harike Barrage and the adjoining Harike Wetland, one of northern India’s largest and most important bird sanctuaries.
-
B.
Harike Barrage
Harike Barrage is a major water-control structure in Punjab, India, that diverts Sutlej River waters for irrigation and canal systems across northwestern India.
-
C.
Ramsagar Dighi
Ramsagar Dighi is a historic man-made reservoir in Dinajpur, Bangladesh, renowned as one of the largest and most famous ancient tanks in the country.
-
D.
Lal Dighi
Lal Dighi is a historic water tank and public square in the heart of Kolkata, India, surrounded by important colonial-era administrative and civic buildings.
-
E.
Banjara
Banjara are a traditionally nomadic tribal community of India known for their vibrant attire, folk traditions, and history as traders and transporters.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52e176481908595fea4ace7a607 |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.