Triple
T11335076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narmada district |
E268450
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Kevadia |
E359376
|
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: Kevadia | Statement: [Narmada district, hasTouristAttraction, Kevadia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevadia Context triple: [Narmada district, hasTouristAttraction, Kevadia]
-
A.
Kevadia
chosen
Kevadia is a town in Gujarat, India, known as the gateway to the Sardar Sarovar Dam and the nearby Statue of Unity tourist complex.
-
B.
Ponda
Ponda is a town in the Indian state of Goa known for its temples, spice plantations, and proximity to major rivers and forested areas.
-
C.
Warud
Warud is a town in Maharashtra, India, known for its orange production and location within the Amravati district.
-
D.
Faqous
Faqous is a city in Egypt’s Nile Delta region, situated within the Sharqia Governorate and known for its agricultural surroundings and local trade.
-
E.
Yeola
Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9ff62c88190a089dd84e2ac1d17 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5432abfd081909d1bbf6460643fb9 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:33 p.m.