Triple
T37572980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Miss Philippines |
E934737
|
entity |
| Predicate | typicalContestantNationality |
P184410
|
FINISHED |
| Object | Filipino |
—
|
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: Filipino | Statement: [Little Miss Philippines, typicalContestantNationality, Filipino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalContestantNationality Context triple: [Little Miss Philippines, typicalContestantNationality, Filipino]
-
A.
contestantNationality
chosen
Indicates that a contestant has a particular national affiliation or citizenship.
-
B.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
-
C.
hasParticipantNationality
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
D.
nationalityInPlay
Indicates that, within the context of a play or performance, a character is portrayed as having a particular nationality.
-
E.
nationalityRepresented
Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.