Triple
T15086425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Torino |
E360284
|
entity |
| Predicate | numberOfItalyInternationals |
P117251
|
FINISHED |
| Object | many starters of the national team |
—
|
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: many starters of the national team | Statement: [Grande Torino, numberOfItalyInternationals, many starters of the national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfItalyInternationals Context triple: [Grande Torino, numberOfItalyInternationals, many starters of the national team]
-
A.
numberOfItalyGoals
Indicates the number of goals scored by Italy in a given match or context.
-
B.
numberOfItalyCaps
Indicates the number of times an entity has appeared in official matches for the Italy national team.
-
C.
nationalTeamHonourWithItaly
Indicates that an entity has received a national team honor while representing Italy.
-
D.
italyParticipation
Indicates that an entity is involved in, takes part in, or is a participant in Italy-related events, activities, or contexts.
-
E.
numberOfSupercoppaItalianaTitles
Indicates the count of Supercoppa Italiana titles that an entity has won.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00276d1608190bc310d5b86ecd1d5 |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:03 a.m.