Triple
T28801053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terje Hauge |
E727234
|
entity |
| Predicate | hasRefereedInternationalMatches |
P109780
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Terje Hauge, hasRefereedInternationalMatches, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefereedInternationalMatches Context triple: [Terje Hauge, hasRefereedInternationalMatches, yes]
-
A.
hasOfficiatedInternationalGames
chosen
Indicates that an individual has served as an official (e.g., referee, umpire, judge) in one or more international-level games or matches.
-
B.
playedInternationally
Indicates that an individual has participated in official international-level events or competitions representing a country or equivalent national entity.
-
C.
hadInternationalClubCompetition
Indicates that an entity has participated in or been involved with an international club-level competition.
-
D.
isRetiredFromInternationalRefereeing
Indicates that an individual has permanently stopped serving as a referee in international-level competitions or matches.
-
E.
isLinkedToInternationalCompetitions
Indicates that there is an association or connection between the entity and one or more international 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
Created at: April 28, 2026, 6:27 a.m.