Triple
T34558627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olèrdola |
E887276
|
entity |
| Predicate | overlooksRegion |
P1323
|
FINISHED |
| Object | Penedès |
—
|
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: Penedès | Statement: [Olèrdola, overlooksRegion, Penedès]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overlooksRegion Context triple: [Olèrdola, overlooksRegion, Penedès]
-
A.
overlooks
chosen
Indicates that one entity has a view toward or looks out over another entity, typically from a higher or adjacent position.
-
B.
observesRegion
Indicates that an entity monitors, watches, or collects information about a specific geographic or spatial region.
-
C.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
-
D.
overseesRegionKnownAs
Indicates that an entity has managerial or supervisory authority over a region identified by a specific name.
-
E.
excludesRegion
Indicates that one entity explicitly omits, leaves out, or does not apply to a specified region or geographic area.
- 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_69f349d0c4d881908dd0950f5eb9ec0a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7206146a881909110085fb46c8251 |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.