Triple
T18849695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sete Rios |
E461007
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lisbon 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: Lisbon Zoo | Statement: [Sete Rios, near, Lisbon Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisbon Zoo Context triple: [Sete Rios, near, Lisbon Zoo]
-
A.
Lisbon Zoo
chosen
Lisbon Zoo is a major zoological garden and popular family attraction in Lisbon, Portugal, featuring a wide variety of animal species, conservation programs, and educational exhibits.
-
B.
Barcelona Zoo
Barcelona Zoo is a major zoological park in Barcelona, Spain, known for its diverse collection of animal species and its location within the historic Parc de la Ciutadella.
-
C.
Lisbon Oceanarium
Lisbon Oceanarium is a major public aquarium in Lisbon, Portugal, renowned for its large central tank and immersive marine habitats representing different ocean ecosystems.
-
D.
Zurich Zoo
Zurich Zoo is a major zoological garden in Zurich, Switzerland, known for its diverse animal exhibits and conservation-focused, naturalistic habitats.
-
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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8f1abdc819081638ed384da191e |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.