Triple
T35807766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colibrí |
E1035145
|
entity |
| Predicate | wornByNationality |
P142549
|
FINISHED |
| Object | Mexican-American |
—
|
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: Mexican-American | Statement: [Colibrí, wornByNationality, Mexican-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wornByNationality Context triple: [Colibrí, wornByNationality, Mexican-American]
-
A.
wornInCountry
Indicates that an item of clothing or accessory is (or was) used or worn within a specified country.
-
B.
wornByOrganization
Indicates that an item (such as clothing, uniform, or accessory) is worn by a specific organization as a whole or by its members in an official capacity.
-
C.
usedByNationality
chosen
Indicates that something (such as an object, resource, or practice) is utilized or employed by people of a particular nationality.
-
D.
typicallyWornBy
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
-
E.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
- 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_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.