Triple
T21625315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadhwan State |
E533685
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Wadhwan |
—
|
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: Wadhwan | Statement: [Wadhwan State, capital, Wadhwan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wadhwan Context triple: [Wadhwan State, capital, Wadhwan]
-
A.
Wadhwan
chosen
Wadhwan is a historic town in Gujarat, India, known for its royal heritage, old fortifications, and role as a former princely state center.
-
B.
Khargone
Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
-
C.
Marvadi
Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
-
D.
Jetalpur
Jetalpur is a town in Gujarat, India, known as one of the key sites associated with Swaminarayan Hinduism and the composition of important religious discourses.
-
E.
Khambhat
Khambhat is a historic coastal town in Gujarat, India, known for its ancient port, trade heritage, and distinctive gulf on the Arabian Sea.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52121c3c8190b9b4d862ed247c71 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:34 p.m.