Triple
T37217947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Lorenzo Beach |
E922791
|
entity |
| Predicate | westernEndLandmark |
P4246
|
FINISHED |
| Object | Church of San Pedro (Gijón) |
—
|
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: Church of San Pedro (Gijón) | Statement: [San Lorenzo Beach, westernEndLandmark, Church of San Pedro (Gijón)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: westernEndLandmark Context triple: [San Lorenzo Beach, westernEndLandmark, Church of San Pedro (Gijón)]
-
A.
terminusWestNear
Indicates that the western terminus of one entity is located near the western terminus of another entity.
-
B.
terminusWestBorough
Indicates that something serves as the western terminus or endpoint of a route, line, or connection at a place called Borough.
-
C.
isDowntownLandmark
Indicates that a location is recognized as a notable or prominent landmark within a city’s downtown area.
-
D.
westernTerminusNear
chosen
Indicates that the western endpoint of one entity is located close to another entity.
-
E.
isDowntownEndpointOf
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
- 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_69f76ea6f5288190b8d9988f613811c0 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.