Triple
T2362560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecnológico de Monterrey |
E47306
|
entity |
| Predicate | hasInternationalPresence |
P28884
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tecnológico de Monterrey, hasInternationalPresence, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalPresence Context triple: [Tecnológico de Monterrey, hasInternationalPresence, yes]
-
A.
hasOverseasPresenceIn
Indicates that an entity maintains operations, offices, or activities in a foreign country or region.
-
B.
hasInternationalStatus
Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
-
C.
hasInternationalDistrict
Indicates that an entity possesses, contains, or is associated with a designated international district within its boundaries or scope.
-
D.
operatesInternationally
chosen
Indicates that the entity conducts activities or business across national borders in multiple countries.
-
E.
hasInternationalOrganizationOffice
Indicates that an international organization maintains an official office or physical presence at a given location.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc74501388190adce9b3e51a03ded |
completed | March 7, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69abc599b92c819093d9e15d4437705d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:55 p.m.