Triple
T12813276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 FIBA Americas Women's Championship |
E306323
|
entity |
| Predicate | cityCount |
P14674
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [2015 FIBA Americas Women's Championship, cityCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityCount Context triple: [2015 FIBA Americas Women's Championship, cityCount, 1]
-
A.
numberOfHostCities
chosen
Indicates the count of distinct cities that have hosted or will host a particular event or activity.
-
B.
citySigned
Indicates that a city has formally signed or endorsed an agreement, document, or commitment.
-
C.
gatheredCities
Indicates that one entity collected or assembled multiple cities together, typically into a group, list, or shared context.
-
D.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
E.
cities
Indicates a relationship where one or more entities are identified as cities associated with another entity (such as a country, region, or person).
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9adcf08190a12801adcc613477 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.