Triple
T25049884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quad City Mallards |
E627347
|
entity |
| Predicate | operatedAsFranchiseInLeague |
P171378
|
FINISHED |
| Object | CHL from 2009 to 2014 |
—
|
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: CHL from 2009 to 2014 | Statement: [Quad City Mallards, operatedAsFranchiseInLeague, CHL from 2009 to 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedAsFranchiseInLeague Context triple: [Quad City Mallards, operatedAsFranchiseInLeague, CHL from 2009 to 2014]
-
A.
operatedFranchiseLeague
Indicates that an entity managed and ran the operations of a franchise-based sports league.
-
B.
operatesUnderFranchiseFrom
Indicates that one entity conducts its business or operations under the franchising rights, brand, and system granted by another entity.
-
C.
establishedAsFranchise
Indicates that an entity has been set up or designated to operate as a franchise under a broader brand or business system.
-
D.
operatesFranchiseLevel
Indicates that an entity runs or manages a business unit at the franchise (rather than corporate or individual store) level.
-
E.
participatingFranchise
Indicates that a franchise is involved as a participant in a particular program, event, or arrangement.
- 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 18, 2026, 6:08 a.m.