Triple
T6176865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football League Championship play-offs |
E137841
|
entity |
| Predicate | firstSeasonUnderCurrentLeagueName |
P30636
|
FINISHED |
| Object | 2004–05 |
—
|
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: 2004–05 | Statement: [Football League Championship play-offs, firstSeasonUnderCurrentLeagueName, 2004–05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonUnderCurrentLeagueName Context triple: [Football League Championship play-offs, firstSeasonUnderCurrentLeagueName, 2004–05]
-
A.
firstYearUnderCurrentName
chosen
Indicates the first year in which an entity began operating or being known under its current name.
-
B.
firstSeasonEligible
Indicates that this is the earliest season in which an entity becomes eligible to participate in or receive something.
-
C.
beganInLeagueSeason
Indicates that an entity (such as a team, player, or competition) began its participation or activity during a specified league season.
-
D.
firstYearPlayed
Indicates the year in which an entity (such as a person or team) first began participating in the specified activity or domain.
-
E.
firstSeasonBothFranchisesPlayed
Indicates the first season in which both franchises were active and played concurrently.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc87bc48190834042d9c41d5b86 |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.