Triple
T15527653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rueda DO |
E369122
|
entity |
| Predicate | hasProductionZoneCenter |
P70121
|
FINISHED |
| Object | town of Rueda |
—
|
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: town of Rueda | Statement: [Rueda DO, hasProductionZoneCenter, town of Rueda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionZoneCenter Context triple: [Rueda DO, hasProductionZoneCenter, town of Rueda]
-
A.
hasIndustrialZoneAlong
Indicates that an industrial zone is located adjacent to or extending along the length of a specified linear feature (such as a road, river, or boundary).
-
B.
isHighTechZoneOf
Indicates that a location or area is officially designated as a high-technology development zone associated with a particular administrative or geographic entity.
-
C.
hasRegionalCenterNearby
Indicates that a regional center is located in close proximity to the referenced entity.
-
D.
hasPrimaryProductionLocation
chosen
Indicates that an entity’s main or principal place where it is produced or manufactured is a specified location.
-
E.
isIndustrialCenter
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:05 a.m.