Triple
T35050082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Özdere |
E1011304
|
entity |
| Predicate | distanceToKuşadasıApproxKm |
P206821
|
FINISHED |
| Object | about 40 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 40 km | Statement: [Özdere, distanceToKuşadasıApproxKm, about 40 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKuşadasıApproxKm Context triple: [Özdere, distanceToKuşadasıApproxKm, about 40 km]
-
A.
distanceFromKayseri
Indicates the spatial distance between a given entity and the location of Kayseri.
-
B.
distanceToSamsun
Indicates the spatial distance between a given entity and the location of Samsun.
-
C.
distanceFromAntalya
Indicates the spatial distance between a given place or object and the city of Antalya.
-
D.
distanceToTurkishCoast
Indicates the measured or calculated spatial distance between a given location or object and the coastline of Turkey.
-
E.
distanceToGaziantep_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Gaziantep.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:01 p.m.