Triple
T23912236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcester IceCats |
E601972
|
entity |
| Predicate | parentClubMarket |
P154346
|
FINISHED |
| Object | St. Louis, Missouri |
—
|
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: St. Louis, Missouri | Statement: [Worcester IceCats, parentClubMarket, St. Louis, Missouri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentClubMarket Context triple: [Worcester IceCats, parentClubMarket, St. Louis, Missouri]
-
A.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
-
B.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
-
C.
associatedClubSport
Indicates that there is a relationship between a club and the sport with which it is connected or aligned.
-
D.
representedClub
Indicates that an entity has acted as a representative of, or played for, a particular club or team.
-
E.
playersClubBrand
Indicates that a player is associated with or represents a particular club’s brand.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce95f4848190b98339d8a6c988ba |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:38 p.m.