Triple
T1417440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melbourne Football Club |
E31949
|
entity |
| Predicate | isOneOfOldestFootballClubs |
P15894
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Melbourne Football Club, isOneOfOldestFootballClubs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfOldestFootballClubs Context triple: [Melbourne Football Club, isOneOfOldestFootballClubs, true]
-
A.
isOneOfOldestClubsIn
chosen
Indicates that a club ranks among the earliest-established clubs within a specified group, region, or organization.
-
B.
isOneOfOldestFranchisesIn
Indicates that an entity is among the earliest-established or longest-running franchises within a specified group, category, or region.
-
C.
isOneOfMostSuccessfulClubsIn
Indicates that a club ranks among the most successful clubs within a specified group, region, or competition context.
-
D.
PremierLeagueFoundingMember
Indicates that an entity was one of the original clubs that formed the Premier League at its inception.
-
E.
isOneOfOldestProgramsIn
Indicates that a program ranks among the earliest or most long-established programs within a specified group, category, or location.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c404e92c8190bd018673383f4534 |
completed | March 1, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.