Triple
T34168365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires Zoo |
E876476
|
entity |
| Predicate | focusAfterTransformation |
P191717
|
FINISHED |
| Object | conservation |
—
|
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: conservation | Statement: [Buenos Aires Zoo, focusAfterTransformation, conservation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusAfterTransformation Context triple: [Buenos Aires Zoo, focusAfterTransformation, conservation]
-
A.
focusAfterTransition
Indicates that focus is moved to a specific element or area after a transition or state change has completed.
-
B.
transformedAfter
Indicates that one entity undergoes a transformation or change at a point in time that occurs after the transformation or change of another entity.
-
C.
focusShift
Indicates a change in attention or emphasis from one entity or topic to another.
-
D.
focusPosition
Indicates the spatial or logical position at which attention, concentration, or processing is currently directed within a given context.
-
E.
focusAfterRebrand
Indicates that an entity’s primary emphasis, strategy, or positioning is considered in the period following a rebranding effort.
- F. None of above. chosen
Provenance (4 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_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 1, 2026, 1:54 a.m.