Triple
T12719902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharatpur Municipal Corporation |
E303946
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | City of Bharatpur |
E62480
|
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: City of Bharatpur | Statement: [Bharatpur Municipal Corporation, governs, City of Bharatpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Bharatpur Context triple: [Bharatpur Municipal Corporation, governs, City of Bharatpur]
-
A.
Bharatpur
chosen
Bharatpur is a historic city in eastern Rajasthan, India, known for the Keoladeo National Park, a UNESCO World Heritage-listed bird sanctuary.
-
B.
Fatehpur
Fatehpur is a town located within Bihar’s Gaya district in eastern India.
-
C.
Sikandarpur
Sikandarpur is a metro station in the Delhi Metro network that serves the Gurugram area and provides an interchange with the Rapid Metro system.
-
D.
Raisinghnagar
Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
-
E.
Khalapur
Khalapur is a town and taluka in Maharashtra, India, known for its location along major highways and proximity to industrial and tourist hubs in the Raigad region.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96411d87481909127e81755f23964 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b8c84308190b57d3b5b04bb4a78 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:24 p.m.