Triple
T6611002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FA Trophy |
E149235
|
entity |
| Predicate | formerlyEligibleLevels |
P9729
|
FINISHED |
| Object | levels 5–8 of the English football league system |
—
|
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: levels 5–8 of the English football league system | Statement: [FA Trophy, formerlyEligibleLevels, levels 5–8 of the English football league system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlyEligibleLevels Context triple: [FA Trophy, formerlyEligibleLevels, levels 5–8 of the English football league system]
-
A.
eligibilityLevel
chosen
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
B.
eligibleFrom
Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
-
C.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
D.
positionEligible
Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
-
E.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.