Triple
T26839692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Industriales de Monterrey |
E675742
|
entity |
| Predicate | hasFranchiseLineageWith |
P10148
|
FINISHED |
| Object | Sultanes de Monterrey |
—
|
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: Sultanes de Monterrey | Statement: [Industriales de Monterrey, hasFranchiseLineageWith, Sultanes de Monterrey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFranchiseLineageWith Context triple: [Industriales de Monterrey, hasFranchiseLineageWith, Sultanes de Monterrey]
-
A.
hasParentFranchise
Indicates that one franchise entity is the parent or overarching franchise of another franchise entity.
-
B.
franchiseLineage
chosen
Indicates the relationship by which one franchise is derived from, succeeds, or is otherwise historically connected to another within the same overarching series or brand.
-
C.
hasFranchiseRelation
Indicates a relationship where one entity holds franchise rights or operates under the brand, business model, or authorization of another entity.
-
D.
franchiseLineageNote
Indicates a note or commentary describing the historical or organizational lineage relationship within a franchise.
-
E.
hasFranchiseConnection
Indicates a relationship where two entities are linked through a franchise arrangement, such as licensing, branding, or operational affiliation within the same franchise system.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 5:07 a.m.