Triple
T5711969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buena Vista |
E125929
|
entity |
| Predicate | usedAsBrandUntil |
P6544
|
FINISHED |
| Object | early 2000s |
—
|
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: early 2000s | Statement: [Buena Vista, usedAsBrandUntil, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsBrandUntil Context triple: [Buena Vista, usedAsBrandUntil, early 2000s]
-
A.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
B.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
C.
introducedAsBrandBy
Indicates that one entity was presented or launched to the public or a market as a brand by another entity.
-
D.
usedUntil
chosen
Indicates that something remained in use or operation up to a specified time or event, after which it was no longer used.
-
E.
logoUsedFrom
Indicates that a particular logo began being used by an entity starting from a specified date or time.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:46 p.m.