Triple
T22491418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honduras national under-23 football team |
E556026
|
entity |
| Predicate | continentalTitlesWon |
P139458
|
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: [Honduras national under-23 football team, continentalTitlesWon, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentalTitlesWon Context triple: [Honduras national under-23 football team, continentalTitlesWon, 1]
-
A.
continentalTitleWon
chosen
Indicates that an entity has won a championship or title at the continental (inter-continental or confederation-level) competition.
-
B.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
-
C.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
- 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.