Triple
T7730775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanumangarh district |
E175245
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Hanumangarh |
E685215
|
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: Hanumangarh | Statement: [Hanumangarh district, hasMajorTown, Hanumangarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanumangarh Context triple: [Hanumangarh district, hasMajorTown, Hanumangarh]
-
A.
Hanumangarh
chosen
Hanumangarh is a town in the northern Indian state of Rajasthan, known for serving as an administrative and commercial center near the Ghaggar River and the Punjab border.
-
B.
Deogarh
Deogarh was a historic kingdom ruled by the Gonds, an indigenous community in central India.
-
C.
Naraingarh
Naraingarh is a town in the northern Indian state of Haryana, known for its agricultural surroundings and role as a local commercial center.
-
D.
Titagarh
Titagarh is an industrial town in the North 24 Parganas district of eastern India, known historically for its jute mills and proximity to Kolkata.
-
E.
Hanuman Garhi
Hanuman Garhi is a prominent hilltop temple in Ayodhya dedicated to Lord Hanuman, revered as one of the city's most important pilgrimage sites.
- 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_69c8be3244088190be26dec90db9cfb3 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:06 p.m.