Triple
T22294890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammoudeli Beach |
E551090
|
entity |
| Predicate | distanceFromSettlement |
P110200
|
FINISHED |
| Object | walking distance from central Plomari (approximate) |
—
|
LITERAL FINISHED |
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: walking distance from central Plomari (approximate) | Statement: [Ammoudeli Beach, distanceFromSettlement, walking distance from central Plomari (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSettlement Context triple: [Ammoudeli Beach, distanceFromSettlement, walking distance from central Plomari (approximate)]
-
A.
distanceFromNearestSettlementKilometers
Indicates the distance, measured in kilometers, from an entity’s location to the closest human settlement.
-
B.
distanceFromRegionalCapital
Indicates the measured spatial distance between a given place and its corresponding regional capital.
-
C.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
-
D.
nearestTownDistance
chosen
Indicates the distance from a given location to the closest town.
-
E.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560f06008190b58e71f7c1bd46f7 |
completed | April 29, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:41 p.m.