Triple
T24630974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association football |
E609672
|
entity |
| Predicate | substitutionsAllowed |
P111505
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Association football, substitutionsAllowed, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: substitutionsAllowed Context triple: [Association football, substitutionsAllowed, limited]
-
A.
numberOfSubstitutes
Indicates the quantity of substitute entities associated with or allowed for a given entity or situation.
-
B.
involvesSubstitute
Indicates that one entity participates in a situation, event, or role as a replacement or stand-in for another entity.
-
C.
hasSubstitutionsType
chosen
Indicates that an entity is associated with a specific kind or category of substitutions applied to it or occurring within it.
-
D.
translationAllowed
Indicates that converting content from one language to another is permitted in this context.
-
E.
permitsExpansionOf
Indicates that one entity authorizes or enables the enlargement, extension, or increase in scope of another entity.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.