Triple
T15320117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Meazza |
E366263
|
entity |
| Predicate | clubNumberOfGoalsForInterMilan |
P51304
|
FINISHED |
| Object | over 240 |
—
|
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: over 240 | Statement: [Giuseppe Meazza, clubNumberOfGoalsForInterMilan, over 240]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubNumberOfGoalsForInterMilan Context triple: [Giuseppe Meazza, clubNumberOfGoalsForInterMilan, over 240]
-
A.
clubGoalsForInterMilan
chosen
Indicates the total number of goals a player has scored for Inter Milan at club level.
-
B.
clubGoalsForACMilan
Indicates the total number of goals scored by AC Milan in club competitions.
-
C.
clubAppearancesForInterMilan
Indicates the number of official matches a player has played for the club Inter Milan.
-
D.
totalGoalsForACMilan
Indicates the total number of goals scored by AC Milan in a given context (such as a match, season, or competition).
-
E.
clubNumberAtACMilan
Indicates the specific jersey number a player wears or wore while playing for AC Milan.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd356b881908f054b64eee6a371 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.