Triple
T12770904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kusum Sarovar |
E305244
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Govardhan town |
E587002
|
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: Govardhan town | Statement: [Kusum Sarovar, locatedNear, Govardhan town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Govardhan town Context triple: [Kusum Sarovar, locatedNear, Govardhan town]
-
A.
Goverdhan
chosen
Goverdhan is a legislative assembly constituency in Uttar Pradesh, India, known for encompassing the pilgrimage town of Govardhan near Mathura.
-
B.
Vrindavan
Vrindavan is a major Hindu pilgrimage town in Uttar Pradesh, India, revered as a principal center of devotion to Lord Krishna and associated with many temples, sacred groves, and legends from his life.
-
C.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
-
D.
Dantapura
Dantapura was an ancient city traditionally identified as the royal and administrative center of the Kalinga kingdom in eastern India.
-
E.
Tekanpur
Tekanpur is a town in Madhya Pradesh, India, best known for hosting the Border Security Force’s main training academy.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f9ba848190b680d730b6a3b972 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.