Triple
T35807772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colibrí |
E1035145
|
entity |
| Predicate | usedBeforeMajorUSExposureOfUser |
P7341
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Colibrí, usedBeforeMajorUSExposureOfUser, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBeforeMajorUSExposureOfUser Context triple: [Colibrí, usedBeforeMajorUSExposureOfUser, true]
-
A.
usedBefore
chosen
Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
-
B.
enteredUSMarketDirectly
Indicates that an entity began operating in the United States market without using intermediaries such as distributors, agents, or partners.
-
C.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
D.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
E.
hasFormerUse
Indicates that something previously served a particular function or role that it no longer has.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:06 p.m.