Triple
T6188838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arachova |
E138134
|
entity |
| Predicate | distanceToDelphi_km |
P61411
|
FINISHED |
| Object | approximately 8 |
—
|
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: approximately 8 | Statement: [Arachova, distanceToDelphi_km, approximately 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDelphi_km Context triple: [Arachova, distanceToDelphi_km, approximately 8]
-
A.
distanceFromDelphi
chosen
Indicates the spatial distance between a given entity or location and the reference point Delphi.
-
B.
distanceFromAlexandria_km
Indicates the distance, measured in kilometers, between a given location and Alexandria.
-
C.
distanceToThessaloniki
Indicates the spatial distance between a given entity’s location and the city of Thessaloniki.
-
D.
distanceFromMiletus
Indicates the spatial distance between a given place or object and the location of Miletus.
-
E.
distanceFromThessaloniki
Indicates the spatial distance between a given entity and the city of Thessaloniki.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.