Triple
T222574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USL First Division |
E4247
|
entity |
| Predicate | typeOfLeagueSystem |
P8322
|
FINISHED |
| Object | franchise system |
—
|
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: franchise system | Statement: [USL First Division, typeOfLeagueSystem, franchise system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLeagueSystem Context triple: [USL First Division, typeOfLeagueSystem, franchise system]
-
A.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
B.
typeOfTeams
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
-
C.
league
Indicates that an organization or team participates in, is a member of, or is associated with a particular sports or competitive league.
-
D.
competitionFormat
Indicates the specific structure or ruleset under which a competition is organized and conducted.
-
E.
relegationSystem
Indicates a system in which entities are moved to a lower tier or level based on their performance or ranking within a structured hierarchy.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25c2bda788190bcfc0bc94686f9e0 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.