Triple
T11444628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alwar district |
E271231
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bhiwadi |
E389851
|
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: Bhiwadi | Statement: [Alwar district, contains, Bhiwadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bhiwadi Context triple: [Alwar district, contains, Bhiwadi]
-
A.
Bhiwadi
chosen
Bhiwadi is an industrial town in the Indian state of Rajasthan that forms part of the extended urban and economic area around Delhi.
-
B.
Ratlam
Ratlam is a prominent commercial city in western Madhya Pradesh, India, known for its railway junction, textile and chemical industries, and production of gold and silver jewelry.
-
C.
Jalgaon
Jalgaon is a city in northwestern Maharashtra, India, known as a major commercial center for banana production and trade.
-
D.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
E.
Sawantwadi
Sawantwadi is a historic town in Maharashtra, India, known for its former royal palace, traditional wooden toys, and scenic location near the Goa border.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088a66f48190b2b4a56cd62097cf |
completed | April 9, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e603f7b7c0819092de5ab040b21dc9 |
completed | April 20, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:35 p.m.