Triple
T12490520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League 2011–12 with Chelsea |
E298548
|
entity |
| Predicate | aggregateScoreVsNapoli |
P105270
|
FINISHED |
| Object | 5–4 |
—
|
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: 5–4 | Statement: [UEFA Champions League 2011–12 with Chelsea, aggregateScoreVsNapoli, 5–4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aggregateScoreVsNapoli Context triple: [UEFA Champions League 2011–12 with Chelsea, aggregateScoreVsNapoli, 5–4]
-
A.
scoreJuventus
Indicates that an entity scores a goal for the Juventus football team in a match.
-
B.
clubGoalsForACMilan
Indicates the total number of goals scored by AC Milan in club competitions.
-
C.
ACMilanManager
Indicates that a person holds or has held the position of manager (head coach) of the football club AC Milan.
-
D.
clubGoalsForInterMilan
Indicates the total number of goals a player has scored for Inter Milan at club level.
-
E.
ACMilanStriker
Indicates that an entity serves in the role of striker (forward) for the football club AC Milan.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e87e0e88190bc49dcfe4954c7e0 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.