Triple
T22362840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drepano |
E552821
|
entity |
| Predicate | distanceFrom Nafplio (approximate) |
P86000
|
FINISHED |
| Object | about 10 kilometers |
—
|
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 10 kilometers | Statement: [Drepano, distanceFrom Nafplio (approximate), about 10 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFrom Nafplio (approximate) Context triple: [Drepano, distanceFrom Nafplio (approximate), about 10 kilometers]
-
A.
distanceToNafplio
chosen
Indicates the spatial distance between a given entity’s location and the location of Nafplio.
-
B.
distanceToPiraeus
Indicates the spatial distance between a given location or object and Piraeus.
-
C.
distanceFromAthens_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Athens.
-
D.
approxDistanceToMytilene
Indicates that one entity is located at an approximate distance from the place or reference point named Mytilene.
-
E.
distanceFromHeraklion
Indicates the spatial distance between a given location and the city of Heraklion.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d513b88190adf2181054c95a0d |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.