Triple
T24635329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss United Kingdom |
E609795
|
entity |
| Predicate | notableInternationalPageant |
P156855
|
FINISHED |
| Object | Miss World |
—
|
NE NERFINISHED |
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: Miss World | Statement: [Miss United Kingdom, notableInternationalPageant, Miss World]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInternationalPageant Context triple: [Miss United Kingdom, notableInternationalPageant, Miss World]
-
A.
notableCrownPrincess
Indicates that the person holds or held the title of crown princess and is distinguished or noteworthy in that role.
-
B.
notableFemaleWinner
Indicates that the subject is a female who has achieved a notable or distinguished victory in the specified context.
-
C.
notableParade
Indicates that an entity is recognized for hosting or being associated with a particularly significant or well-known parade.
-
D.
notableCeremony
Indicates that an entity is associated with a significant or distinguished ceremony, event, or formal observance.
-
E.
representedInternationallyBy
Indicates that one entity serves as the official international representative or agent acting on behalf of another entity in foreign or global contexts.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.