Triple
T14781250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamudio |
E347392
|
entity |
| Predicate | hasTechnologicalActivity |
P116080
|
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: [Zamudio, hasTechnologicalActivity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTechnologicalActivity Context triple: [Zamudio, hasTechnologicalActivity, yes]
-
A.
hasAdvancedTechnologySector
Indicates that an entity possesses or includes a developed sector focused on advanced or high-tech industries, products, or services.
-
B.
hasTechnologyDomain
Indicates that an entity is associated with, operates within, or is relevant to a particular field or domain of technology.
-
C.
isTechnologicalHubOf
Indicates that a location serves as a central focal point for technological activity, development, or innovation for another specified area or community.
-
D.
hasTechnologyTheme
Indicates that something is associated with, centers on, or prominently features technology as a primary theme or subject.
-
E.
hasInnovationType
Indicates that an entity is associated with, or classified by, a specific type or category of innovation.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90c5e3a08190868680b081308c1d |
completed | April 14, 2026, 7:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.