Triple
T17805727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagina Wadi |
E444551
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Kankaria Zoo |
—
|
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: Kankaria Zoo | Statement: [Nagina Wadi, hasNearbyAttraction, Kankaria Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kankaria Zoo Context triple: [Nagina Wadi, hasNearbyAttraction, Kankaria Zoo]
-
A.
Kankaria Zoo
chosen
Kankaria Zoo is a zoological park in Ahmedabad, India, known for its diverse collection of animals and its location beside the historic Kankaria Lake.
-
B.
Hamura Zoo
Hamura Zoo is a small, family-friendly zoological park in Hamura, Tokyo, known for its approachable scale and educational animal exhibits.
-
C.
Buin Zoo
Buin Zoo is a major zoological park in Buin, Chile, known for its diverse collection of animals and role as a popular family attraction and conservation site.
-
D.
Tama Zoological Park
Tama Zoological Park is a large zoo in the Tokyo area known for its spacious, naturalistic habitats and diverse collection of animals from around the world.
-
E.
Sóstó Zoo
Sóstó Zoo is a major Hungarian zoological park in Nyíregyháza known for its extensive collection of animal species and immersive, naturalistic exhibits.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880385b48190b8dea0f05dfa1300 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:14 a.m.