Triple
T26887942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambuceto |
E677093
|
entity |
| Predicate | formsEconomicAreaWith |
P171413
|
FINISHED |
| Object | Pescara |
—
|
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: Pescara | Statement: [Sambuceto, formsEconomicAreaWith, Pescara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsEconomicAreaWith Context triple: [Sambuceto, formsEconomicAreaWith, Pescara]
-
A.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
-
B.
economicArea
Indicates that one entity is part of, associated with, or falls under the jurisdiction of a defined economic region or zone of another entity.
-
C.
isFromEconomicRegion
Indicates that an entity originates from, belongs to, or is associated with a specified economic region.
-
D.
servesEconomicRegion
Indicates that an entity provides services, support, or functions that benefit or are directed toward a particular economic region.
-
E.
hasEconomicRegionAlongBorder
Indicates that two entities share a border along which a defined economic region or zone exists or is recognized.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 27, 2026, 5:43 a.m.