Triple
T29290332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Néstor Pitana |
E742641
|
entity |
| Predicate | hasFIFABadge |
P190326
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Néstor Pitana, hasFIFABadge, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFIFABadge Context triple: [Néstor Pitana, hasFIFABadge, true]
-
A.
fifaMembership
Indicates that an entity is a member association or organization officially affiliated with FIFA.
-
B.
hasRefereeBadge
chosen
Indicates that an entity holds or has been awarded an official referee badge or certification.
-
C.
fifaEligibility
Indicates that an entity (typically a player) meets the official criteria to represent a particular national team under FIFA regulations.
-
D.
typeOfMembershipInFIFA
Indicates the specific category or level of a country's affiliation or membership status within FIFA.
-
E.
fifaEligibilityRule
Indicates that a person meets the official criteria set by FIFA to represent a particular national team in international football competitions.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: April 28, 2026, 1:01 p.m.