Triple
T3687982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indulal Yagnik |
E78271
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Nadiad |
E373389
|
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: Nadiad | Statement: [Indulal Yagnik, placeOfBirth, Nadiad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadiad Context triple: [Indulal Yagnik, placeOfBirth, Nadiad]
-
A.
Nadiad
chosen
Nadiad is a city in the Indian state of Gujarat, historically notable as the birthplace of independence leader Sardar Vallabhbhai Patel.
-
B.
Randhawa
Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
-
C.
Bathinda
Bathinda is a major city in southwestern Punjab, India, known as an important agricultural, industrial, and military center with historical forts and thermal power plants.
-
D.
Nawanshahr
Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
-
E.
Rajsamand
Rajsamand is a town in the Indian state of Rajasthan, known for the nearby Rajsamand Lake and its historical association with the Mewar region.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c960788190b73ede08658846aa |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f024962881908b5fe52f594a5d03 |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:26 p.m.