Triple
T31405208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebony Fashion Fair |
E801109
|
entity |
| Predicate | numberOfCitiesPerTour |
P14674
|
FINISHED |
| Object | 30+ |
—
|
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: 30+ | Statement: [Ebony Fashion Fair, numberOfCitiesPerTour, 30+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCitiesPerTour Context triple: [Ebony Fashion Fair, numberOfCitiesPerTour, 30+]
-
A.
tourLegCount
Indicates the number of legs or segments that make up a given tour or journey.
-
B.
tourLength
Indicates the total duration or distance covered by a tour or route.
-
C.
numberOfHostCities
chosen
Indicates the count of distinct cities that have hosted or will host a particular event or activity.
-
D.
numberOfDailyRoundTrips
Indicates the total count of round-trip journeys performed per day in the described context.
-
E.
numberOfRoutes
Indicates the total count of distinct routes or paths associated with a given entity or between specified entities.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_6a00d76d0e0881908d83a8dcce511167 |
completed | May 10, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_6a00d711805881909a94cfd1f25fb331 |
completed | May 10, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:20 p.m.