Triple
T17162508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidri Beach |
E416514
|
entity |
| Predicate | approxDistanceFromLefkadaTown |
P126348
|
FINISHED |
| Object | about 17 km |
—
|
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: about 17 km | Statement: [Nidri Beach, approxDistanceFromLefkadaTown, about 17 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxDistanceFromLefkadaTown Context triple: [Nidri Beach, approxDistanceFromLefkadaTown, about 17 km]
-
A.
distanceFromLefkadaTown
Indicates the spatial distance separating a given place or object from Lefkada Town.
-
B.
distanceFromSkopelosTown
Indicates the spatial distance separating a given place or object from Skopelos Town.
-
C.
distanceFromSkopelosTown_km
Indicates the distance, measured in kilometers, between an entity and Skopelos Town.
-
D.
distanceFromMykonosTown
Indicates the spatial distance separating a given place or object from Mykonos Town.
-
E.
approxDistanceToMytilene
Indicates that one entity is located at an approximate distance from the place or reference point named Mytilene.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:37 a.m.