Triple
T34168387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires Zoo |
E876476
|
entity |
| Predicate | transformationGoal |
P143170
|
FINISHED |
| Object | reduce captivity of animals |
—
|
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: reduce captivity of animals | Statement: [Buenos Aires Zoo, transformationGoal, reduce captivity of animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformationGoal Context triple: [Buenos Aires Zoo, transformationGoal, reduce captivity of animals]
-
A.
goalOfRealization
chosen
Indicates the intended outcome or objective that an action, process, or plan is meant to bring into reality or achieve.
-
B.
settingOfTransformation
Indicates the place, context, or environment in which a transformation of an entity or state occurs.
-
C.
transportGoal
Indicates that an entity has the objective or intended outcome of moving or conveying something or someone from one place to another.
-
D.
showsTransformationOf
Indicates that one entity visually or conceptually presents the process or result of another entity changing from one state, form, or condition to another.
-
E.
restorationGoal
Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
- 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_69f349ad97ac8190bf1f17417c970e64 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1a972bf08190860696ffcd887c0f |
completed | May 9, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69ff184005d88190bf38283ebc499b28 |
completed | May 9, 2026, 11:19 a.m. |
Created at: May 1, 2026, 1:54 a.m.