Triple
T22687484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calcio Montebelluna |
E560955
|
entity |
| Predicate | tierOfLeagueParticipation |
P42313
|
FINISHED |
| Object | fourth tier of Italian football |
—
|
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: fourth tier of Italian football | Statement: [Calcio Montebelluna, tierOfLeagueParticipation, fourth tier of Italian football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierOfLeagueParticipation Context triple: [Calcio Montebelluna, tierOfLeagueParticipation, fourth tier of Italian football]
-
A.
tierInLeagueSystem
chosen
Indicates the specific hierarchical level or division an entity occupies within an organized league system.
-
B.
associatedLeagueLevel
Indicates that one entity is linked to another entity representing the competitive tier or level of a sports league.
-
C.
tierInNationalFootball
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
D.
isPartOfLeague
Indicates that an entity belongs to, participates in, or is a member of a particular league.
-
E.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178983fc8819080aa00e45ff77952 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.