Triple
T7711151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Domka |
E174753
|
entity |
| Predicate | refereeCategory |
P78279
|
FINISHED |
| Object | FIFA international referee |
—
|
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: FIFA international referee | Statement: [Margaret Domka, refereeCategory, FIFA international referee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refereeCategory Context triple: [Margaret Domka, refereeCategory, FIFA international referee]
-
A.
refereeNationality
Indicates the country or national affiliation associated with a referee.
-
B.
refereeSignal
Indicates that a referee communicates a decision or instruction through an official signal (e.g., whistle, gesture, or flag) regarding an event in the game.
-
C.
leagueOfficiated
Indicates that a particular league is overseen, governed, or administered by a specified officiating body or authority.
-
D.
matchCategory
Indicates that two or more entities belong to the same category or share an equivalent classification.
-
E.
FIFARefereeUntil
Indicates that an individual served as a FIFA-recognized referee up to and including a specified end date.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702e9a32081909a153190a62af426 |
completed | March 27, 2026, 10:21 p.m. |
Created at: March 27, 2026, 4:04 p.m.