Triple
T14138731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Oceanogràfic |
E350364
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Avanqua Oceanogràfic |
E350364
|
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: Avanqua Oceanogràfic | Statement: [L'Oceanogràfic, operator, Avanqua Oceanogràfic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avanqua Oceanogràfic Context triple: [L'Oceanogràfic, operator, Avanqua Oceanogràfic]
-
A.
L'Oceanogràfic
chosen
L'Oceanogràfic is a large, modern oceanarium in Valencia, Spain, renowned for its diverse marine habitats and striking avant-garde architecture.
-
B.
Océanopolis
Océanopolis is a large ocean discovery park and aquarium in Brest, France, featuring extensive exhibits on marine ecosystems and ocean science.
-
C.
Exploria
Exploria is a themed area within Heide Park, a major German amusement park known for its immersive attractions and rides.
-
D.
Deep Sea World
Deep Sea World is a popular Scottish aquarium and marine wildlife attraction located near the Forth Bridge in North Queensferry.
-
E.
Acqua Mundo Aquarium
Acqua Mundo Aquarium is a large public aquarium and popular family-friendly marine life attraction located in the coastal city of Guarujá, Brazil.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6111a36081909beff35c88a56960 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7e655908190bf81dcbad1b10292 |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 10, 2026, 12:40 a.m.