Triple
T28266145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanian football league system |
E712708
|
entity |
| Predicate | includesAmateurDivisions |
P198307
|
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: [Romanian football league system, includesAmateurDivisions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAmateurDivisions Context triple: [Romanian football league system, includesAmateurDivisions, true]
-
A.
includesAmateurClubs
Indicates that something (such as an organization, competition, or structure) contains or encompasses amateur-level clubs as part of it.
-
B.
hasAmateurSection
Indicates that something includes or provides a dedicated section or part specifically for amateurs.
-
C.
hasAmateurLevel
Indicates that an entity possesses an amateur level of skill, experience, or proficiency in a given activity or domain.
-
D.
includesSemiProfessionalLeagues
Indicates that the subject entity encompasses or contains semi-professional leagues within its structure or scope.
-
E.
hasRelegationToAmateurLevel
Indicates that an entity (typically a sports team or club) has been demoted from a professional or higher competitive level to an amateur level.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
| PDg | Predicate description generation | batch_69fedd5915588190bd884054e4be0414 |
completed | May 9, 2026, 7:08 a.m. |
Created at: April 27, 2026, 11:14 p.m.