Triple
T19705089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G-14 |
E473192
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | AC Milan |
—
|
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: AC Milan | Statement: [G-14, hasMember, AC Milan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AC Milan Context triple: [G-14, hasMember, AC Milan]
-
A.
AC Milan
chosen
AC Milan is a historic and highly successful Italian football club based in Milan, renowned for its numerous domestic titles and European Cup/Champions League triumphs.
-
B.
Inter Milan
Inter Milan is a professional Italian football club based in Milan, renowned for its success in Serie A and European competitions.
-
C.
Juventus FC
Juventus FC is a historically dominant Italian football club based in Turin, renowned for its numerous Serie A titles and regular presence in European competitions.
-
D.
S.S.C. Napoli
S.S.C. Napoli is a professional Italian football club based in Naples, known for its passionate fanbase and successes in Serie A and European competitions.
-
E.
A.S. Roma
A.S. Roma is a professional Italian football club based in Rome that competes in Serie A and is known for its passionate fanbase and historic rivalries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b998608190a82f23bbf77f7bd2 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.