Triple
T21245431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahesana district |
E523593
|
entity |
| Predicate | hasFamousPlace |
P10233
|
FINISHED |
| Object | Vadnagar |
—
|
NE NERFINISHED |
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: Vadnagar | Statement: [Mahesana district, hasFamousPlace, Vadnagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vadnagar Context triple: [Mahesana district, hasFamousPlace, Vadnagar]
-
A.
Vadnagar
chosen
Vadnagar is a historic town in the Indian state of Gujarat, known for its ancient heritage sites and as the birthplace of Prime Minister Narendra Modi.
-
B.
Narwana
Narwana is a town in the Indian state of Haryana known as a local commercial and administrative center within the Jind region.
-
C.
Vohra
Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
-
D.
Dighwara
Dighwara is a prominent town in Bihar, India, known as one of the major urban centers of Saran district.
-
E.
Vadgam
Vadgam is a town in the Banaskantha district of Gujarat, India, known primarily as a local administrative and market center for the surrounding rural region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b513b89c81908b27147e91368db2 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73599e5548190ad70d2c2bfa9e919 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:47 p.m.