Triple
T25404929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandra |
E636525
|
entity |
| Predicate | distanceToAthensApprox |
P101484
|
FINISHED |
| Object | about 25 km west of central Athens |
—
|
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 25 km west of central Athens | Statement: [Mandra, distanceToAthensApprox, about 25 km west of central Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAthensApprox Context triple: [Mandra, distanceToAthensApprox, about 25 km west of central Athens]
-
A.
distanceToAthensCenter
chosen
Indicates the spatial distance between a given location and the center of Athens.
-
B.
distanceFromAthens_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Athens.
-
C.
distanceFromAthensAirport
Indicates the spatial distance between a given location and Athens Airport.
-
D.
distanceToPiraeus
Indicates the spatial distance between a given location or object and Piraeus.
-
E.
distanceFromAthensBySea
Indicates the measured distance between a place and Athens when traveling via sea routes.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 21, 2026, 1:52 p.m.