Triple
T32076846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leones de Ponce |
E819178
|
entity |
| Predicate | isTraditionalFranchiseIn |
P174971
|
FINISHED |
| Object | Puerto Rican winter baseball |
—
|
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: Puerto Rican winter baseball | Statement: [Leones de Ponce, isTraditionalFranchiseIn, Puerto Rican winter baseball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTraditionalFranchiseIn Context triple: [Leones de Ponce, isTraditionalFranchiseIn, Puerto Rican winter baseball]
-
A.
typeOfFranchise
Indicates the specific category or kind of franchise that an entity belongs to within a broader franchising system.
-
B.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
C.
operatesUnderFranchiseFrom
Indicates that one entity conducts its business or operations under the franchising rights, brand, and system granted by another entity.
-
D.
establishedAsFranchise
Indicates that an entity has been set up or designated to operate as a franchise under a broader brand or business system.
-
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_69f348ff8ef88190931c08ba530a36bc |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 12:23 a.m.