Triple
T19398241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PetSmart |
E485247
|
entity |
| Predicate | wentPrivate |
P58773
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [PetSmart, wentPrivate, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wentPrivate Context triple: [PetSmart, wentPrivate, 2015]
-
A.
wentPrivateIn
chosen
Indicates that an entity transitioned from public to private status at or during the specified time or event.
-
B.
convertedToPrivateClub
Indicates that an entity previously open to the public has been changed into a private club with restricted membership or access.
-
C.
wentIntoHiding
Indicates that an entity deliberately withdrew from public view or contact to avoid detection, attention, or danger.
-
D.
privatizedInto
Indicates that a previously public or state-owned entity has been transferred into private ownership or control, typically becoming a private company or organization.
-
E.
wentTo
Indicates that one entity traveled or moved from its original location to another specified place.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62574edd08190b5456108d5e3907e |
completed | April 20, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:36 p.m.