Triple
T24633585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gavi |
E609743
|
entity |
| Predicate | playsForNationalTeamShirtNumber |
P156847
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Gavi, playsForNationalTeamShirtNumber, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsForNationalTeamShirtNumber Context triple: [Gavi, playsForNationalTeamShirtNumber, 9]
-
A.
playsForNationalTeamAsOf2020s
Indicates that an individual is an active member of a national sports team during the 2020s.
-
B.
playedForNationalTeamFrom
Indicates that an entity was a member of and played for a particular national team starting from a specified date or time period.
-
C.
usedByNationalTeamSince
Indicates that something has been utilized or employed by a national team starting from a specific point in time.
-
D.
associatedWithNationalTeam
Indicates that an entity has a formal connection or involvement with a specific national team, such as playing for, coaching, or otherwise being officially linked to it.
-
E.
playedForNationalTeamUntil
Indicates that an individual was a member of and actively played for a specified national team up to and including a particular end date or year.
- F. None of above. chosen
Provenance (4 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.