Triple
T3703524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parc de la Tête d’Or |
E80836
|
entity |
| Predicate | hasZooAnimals |
P13551
|
FINISHED |
| Object | giraffes |
—
|
LITERAL 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: giraffes | Statement: [Parc de la Tête d’Or, hasZooAnimals, giraffes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasZooAnimals Context triple: [Parc de la Tête d’Or, hasZooAnimals, giraffes]
-
A.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
B.
zooType
Indicates the classification or category of a zoo, such as its type or kind.
-
C.
hasAnimal
chosen
Indicates that one entity possesses, keeps, or is associated with an animal.
-
D.
usesLiveAnimals
Indicates that one entity employs or incorporates live animals in performing an action, service, process, or activity involving another entity.
-
E.
zooSpecialization
Indicates that one entity is a zoo whose primary focus or expertise is specialized in the type, category, or group represented by the other entity.
- F. None of above.
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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54aaac88190b775dba2513b6d4a |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adb84eeca48190bb4de637e9f0e27a |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:33 p.m.