Triple
T22298702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadodara district |
E551194
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Dabhoi |
—
|
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: Dabhoi | Statement: [Vadodara district, hasTown, Dabhoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dabhoi Context triple: [Vadodara district, hasTown, Dabhoi]
-
A.
Dabhoi
chosen
Dabhoi is a historic town in the Indian state of Gujarat, known for its ancient fortifications and architectural heritage.
-
B.
Dhandhuka
Dhandhuka is a town in the Indian state of Gujarat known historically as a local trade and administrative center within the Ahmedabad region.
-
C.
Jhabua
Jhabua is a town and administrative district headquarters in western Madhya Pradesh, India, known for its significant tribal population and culture.
-
D.
Palanpur
Palanpur is a prominent town in northern Gujarat, India, known historically as the former capital of the princely state of Palanpur and an important regional commercial center.
-
E.
Nategaon
Nategaon is a village in India known primarily as the birthplace of prominent Indian civil servant and economist C. D. Deshmukh.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15722c3348190b63eb49764ef132d |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.