Triple
T24344957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultras Montréal |
E613613
|
entity |
| Predicate | homeClubCurrentName |
P85914
|
FINISHED |
| Object | CF Montréal |
—
|
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: CF Montréal | Statement: [Ultras Montréal, homeClubCurrentName, CF Montréal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeClubCurrentName Context triple: [Ultras Montréal, homeClubCurrentName, CF Montréal]
-
A.
homeClubFullName
Indicates the full official name of the club that serves as the home team in the given context.
-
B.
homeClubRenamedFrom
chosen
Indicates that a sports club’s current home club identity was previously known under a different name.
-
C.
homeClub
Indicates that a particular club is the primary or hosting club associated with a given event, match, or participant.
-
D.
homeVenueCurrentName
Indicates the current official name of the venue that serves as an entity’s home location.
-
E.
originalHomeClub
Indicates the club that initially owned or was the first professional team of the person or player in question.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29328b0288190a580939e8863b0c2 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.