Triple
T29078986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Israel 2004 |
E733920
|
entity |
| Predicate | winnerInternationalPageantLocation |
P8999
|
FINISHED |
| Object | Quito, Ecuador |
—
|
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: Quito, Ecuador | Statement: [Miss Israel 2004, winnerInternationalPageantLocation, Quito, Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerInternationalPageantLocation Context triple: [Miss Israel 2004, winnerInternationalPageantLocation, Quito, Ecuador]
-
A.
pageantLocation
chosen
Indicates the place where a pageant is held or takes place.
-
B.
notableInternationalPageant
Indicates that the subject is a notable or significant international beauty pageant.
-
C.
winnerCountry
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
D.
locationCountryOfCeremony
Indicates the country in which a particular ceremony takes place or is held.
-
E.
awardShowLocation
Indicates the place where an award show is held or takes place.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 28, 2026, 10:52 a.m.