Triple
T12123934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heraion of Perachora |
E288759
|
entity |
| Predicate | distanceFromCorinth_km |
P103523
|
FINISHED |
| Object | approximately 14 |
—
|
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 14 | Statement: [Heraion of Perachora, distanceFromCorinth_km, approximately 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCorinth_km Context triple: [Heraion of Perachora, distanceFromCorinth_km, approximately 14]
-
A.
distanceFromKaterini_km
Indicates the distance, measured in kilometers, between a given place and Katerini.
-
B.
distanceFromHeraklion
Indicates the spatial distance between a given location and the city of Heraklion.
-
C.
distanceToPatras
Indicates the spatial distance between a given entity or location and the city of Patras.
-
D.
distanceFromThessaloniki
Indicates the spatial distance between a given entity and the city of Thessaloniki.
-
E.
distanceToNafplio
Indicates the spatial distance between a given entity’s location and the location of Nafplio.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.