Triple
T29290328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Néstor Pitana |
E742641
|
entity |
| Predicate | fifaWorldCupFinalReferee |
P166808
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Néstor Pitana, fifaWorldCupFinalReferee, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaWorldCupFinalReferee Context triple: [Néstor Pitana, fifaWorldCupFinalReferee, 2018]
-
A.
FIFARefereeUntil
Indicates that an individual served as a FIFA-recognized referee up to and including a specified end date.
-
B.
FIFARefereeSince
Indicates that an individual has held official FIFA referee status starting from a specified date or year.
-
C.
FIFAListedReferee
Indicates that a referee is officially recognized and listed by FIFA as eligible to officiate international matches.
-
D.
refereeNationality
Indicates the country or national affiliation associated with a referee.
-
E.
fifaConfederationsCupRunnerUp
Indicates that an entity finished in second place (was the runner-up) in a specified edition of the FIFA Confederations Cup.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6653fd31c8190af982a019dfe645e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 1:01 p.m.