Triple
T9876582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brno Zoo |
E240086
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | WAZA |
E415309
|
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: WAZA | Statement: [Brno Zoo, memberOf, WAZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAZA Context triple: [Brno Zoo, memberOf, WAZA]
-
A.
WAZA
chosen
WAZA is the global organization that represents and coordinates zoos and aquariums worldwide to promote conservation, animal welfare, and environmental education.
-
B.
WJA
WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
-
C.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
D.
WAKA
"WAKA" is a track from 6ix9ine's 2018 studio album "Dummy Boy," known for its aggressive trap sound and high-energy delivery.
-
E.
W&A
W&A is the commonly used abbreviation for the Western and Atlantic Railroad, a historic rail line in the southeastern United States.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3fb58d481908407898912c4b4e9 |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e47b62388190a033743376500375 |
completed | April 5, 2026, 4:26 a.m. |
Created at: March 30, 2026, 8:37 p.m.