Triple
T18300233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somerset Patriots |
E438339
|
entity |
| Predicate | previousAffiliationStatus |
P53717
|
FINISHED |
| Object | unaffiliated independent club |
—
|
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: unaffiliated independent club | Statement: [Somerset Patriots, previousAffiliationStatus, unaffiliated independent club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousAffiliationStatus Context triple: [Somerset Patriots, previousAffiliationStatus, unaffiliated independent club]
-
A.
previousStateAffiliation
Indicates that an entity was formerly affiliated with a particular state or state-level jurisdiction before its current status or affiliation.
-
B.
previousCorporateAffiliation
Indicates that an entity was formerly employed by, associated with, or part of a specified corporate organization before its current status or affiliation.
-
C.
formerAffiliationLevel
chosen
Indicates that an entity previously held a specific level or status within an affiliation, but no longer does so.
-
D.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
-
E.
hasFormerInstitutionName
Indicates that an institution was previously known by a different name.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017e88cc8190a969eb628ca1b496 |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.