Triple
T30370832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Super Cup 1982 with Aston Villa F.C. |
E772543
|
entity |
| Predicate | secondLegHost |
P52141
|
FINISHED |
| Object | Aston Villa F.C. |
—
|
NE NERFINISHED |
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: Aston Villa F.C. | Statement: [European Super Cup 1982 with Aston Villa F.C., secondLegHost, Aston Villa F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondLegHost Context triple: [European Super Cup 1982 with Aston Villa F.C., secondLegHost, Aston Villa F.C.]
-
A.
secondLegOrigin
Indicates the location from which the second leg of a multi-leg journey or route begins.
-
B.
secondStation
Indicates that one station in a sequence or route is the second station relative to another reference point or ordering.
-
C.
firstLeg
Indicates that one entity represents the initial segment or starting portion of a multi-part journey, sequence, or process involving another entity.
-
D.
secondElement
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
E.
secondHolder
chosen
Indicates that an entity is the second person or party to hold or possess a particular item, role, title, or position in a sequence.
- 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 29, 2026, 7:59 p.m.