Triple
T22633515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Platanias |
E558616
|
entity |
| Predicate | distanceToChaniaApproxKm |
P145676
|
FINISHED |
| Object | 10–15 |
—
|
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: 10–15 | Statement: [municipality of Platanias, distanceToChaniaApproxKm, 10–15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToChaniaApproxKm Context triple: [municipality of Platanias, distanceToChaniaApproxKm, 10–15]
-
A.
distanceFromChania
chosen
Indicates the spatial distance between a given entity or location and the city of Chania.
-
B.
distanceFromHeraklion
Indicates the spatial distance between a given location and the city of Heraklion.
-
C.
distanceFromSkopelosTown_km
Indicates the distance, measured in kilometers, between an entity and Skopelos Town.
-
D.
distanceFromSamosTownKilometers
Indicates the distance, measured in kilometers, between a given place and Samos Town.
-
E.
distanceFromAthens_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Athens.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700be10c8190830393fdbec1033d |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:03 p.m.