Triple
T22492035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa del Rey de Baloncesto |
E556042
|
entity |
| Predicate | venueFormat |
P24926
|
FINISHED |
| Object | single host city |
—
|
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: single host city | Statement: [Copa del Rey de Baloncesto, venueFormat, single host city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueFormat Context triple: [Copa del Rey de Baloncesto, venueFormat, single host city]
-
A.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
B.
eventFormat
chosen
Indicates the specific structure, style, or presentation type in which an event is organized or delivered.
-
C.
venuePattern
Indicates a recurring or characteristic arrangement, schedule, or configuration associated with a particular venue.
-
D.
conferenceFormat
Indicates the type or structure in which a conference is organized or conducted (e.g., in-person, virtual, hybrid, workshop-based).
-
E.
tourFormat
Indicates the specific structure, style, or type of a tour associated with an entity.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15caea9d081909adc90ae78999d53 |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:49 p.m.