Triple
T26989329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Universe 1985 |
E679822
|
entity |
| Predicate | numberOfDebutingCountries |
P196859
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Miss Universe 1985, numberOfDebutingCountries, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDebutingCountries Context triple: [Miss Universe 1985, numberOfDebutingCountries, 3]
-
A.
internationalDebutFor
Indicates that an entity made its first official appearance or performance at the international level representing a particular country, team, or organization.
-
B.
nationalTeamDebutCountry
Indicates the country for which an individual first made an official appearance on a national team.
-
C.
WorldCupDebutYear
Indicates the year in which an entity (typically a team or player) first participated in a World Cup tournament.
-
D.
internationalTeamDebutYear
Indicates the year in which an entity (typically an athlete) first appeared in competition for an international team.
-
E.
debutNation
Indicates the nation in which an entity (such as a person, team, or work) first made its official or public debut.
- F. None of above. chosen
Provenance (4 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fe6c7fc4388190aa88993d00872d7f |
completed | May 8, 2026, 11:06 p.m. |
Created at: April 27, 2026, 6:50 a.m.