Triple
T35442557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay of Agia Marina |
E1024386
|
entity |
| Predicate | hasLandmarkAbove |
P200352
|
FINISHED |
| Object | Panagia tou Kastrou church |
—
|
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: Panagia tou Kastrou church | Statement: [Bay of Agia Marina, hasLandmarkAbove, Panagia tou Kastrou church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandmarkAbove Context triple: [Bay of Agia Marina, hasLandmarkAbove, Panagia tou Kastrou church]
-
A.
hasCliffsAbove
Indicates that one entity is positioned such that cliffs rise directly above or overhang it.
-
B.
hasStartLandmark
Indicates that an entity begins, originates, or is initially located at a specified landmark.
-
C.
hasAltitudeFeature
Indicates that an entity possesses a characteristic or attribute related to its elevation or vertical position above a reference level.
-
D.
hasLandmarkProperty
Indicates that something possesses a notable or defining landmark-related characteristic or feature.
-
E.
locatedAboveGround
Indicates that one entity is positioned at a level higher than the ground surface, not buried or below ground.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff84202eb081908ae21a54a4414d68 |
completed | May 9, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69ff833065e4819098579129d4ee17d3 |
completed | May 9, 2026, 6:55 p.m. |
| PDg | Predicate description generation | batch_69ff841f2f2081908d72d4f878c538a0 |
completed | May 9, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:04 p.m.