Triple
T23688744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League 2004–05 |
E585240
|
entity |
| Predicate | finalHalftimeScore |
P11635
|
FINISHED |
| Object | A.C. Milan 3–0 Liverpool |
—
|
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: A.C. Milan 3–0 Liverpool | Statement: [UEFA Champions League 2004–05, finalHalftimeScore, A.C. Milan 3–0 Liverpool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalHalftimeScore Context triple: [UEFA Champions League 2004–05, finalHalftimeScore, A.C. Milan 3–0 Liverpool]
-
A.
halftimeScore
chosen
Indicates the score or result of a game or match at the halfway point (halftime).
-
B.
finalScore90Minutes
Indicates the final score of a match after the standard 90 minutes of regular playing time, excluding any extra time or penalty shootouts.
-
C.
homeTeamPointsInFirstHalf
Indicates the number of points scored by the home team during the first half of a game.
-
D.
finalSecondLegScore
Indicates the score achieved in the second leg of a two-leg competition or matchup once that leg is completed.
-
E.
halfTimeBreakDuration
Indicates the length of time allocated for the break between the two halves of an event or activity.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5bfe15c8190af2b4c451bccae16 |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.