Triple
T25154878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COL (historical context) |
E626280
|
entity |
| Predicate | successorTeamAbbreviation |
P164781
|
FINISHED |
| Object | NJD |
—
|
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: NJD | Statement: [COL (historical context), successorTeamAbbreviation, NJD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorTeamAbbreviation Context triple: [COL (historical context), successorTeamAbbreviation, NJD]
-
A.
successorTeamFranchise
Indicates that one team franchise is the direct successor or continuation of another team franchise, typically following relocation, renaming, or reorganization.
-
B.
successorTeamInCity
Indicates that one team is the direct replacement or continuation of another team within the same city.
-
C.
successorMascotTeam
Indicates that one mascot team directly follows and replaces another mascot team in sequence or role.
-
D.
successorTeamLeague
Indicates that one sports league is the direct successor to another for a given team’s participation or affiliation.
-
E.
successorTeamLocation
Indicates that one team location directly follows or replaces another team location in a sequence or organizational lineage.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 18, 2026, 6:30 a.m.