Triple
T34859492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tripoint of Bulgaria–Greece–Turkey |
E1004825
|
entity |
| Predicate | nearVillageInGreece |
P182308
|
FINISHED |
| Object | Kastanies |
—
|
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: Kastanies | Statement: [tripoint of Bulgaria–Greece–Turkey, nearVillageInGreece, Kastanies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearVillageInGreece Context triple: [tripoint of Bulgaria–Greece–Turkey, nearVillageInGreece, Kastanies]
-
A.
nearbyGreekCity
Indicates that one city is geographically close to another city located in Greece.
-
B.
nearVillageInTurkey
Indicates that one entity is located close to a village situated within the country of Turkey.
-
C.
locatedDistanceFromAgrinio_km
Indicates the distance in kilometers between an entity’s location and the city of Agrinio.
-
D.
distanceFromThessaloniki
Indicates the spatial distance between a given entity and the city of Thessaloniki.
-
E.
locatedOnSideOfGreekMainland
Indicates that one place is situated on the side of the Greek mainland relative to another reference point or area.
- 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4 p.m.