Triple
T30306101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çarşamba |
E770784
|
entity |
| Predicate | distanceToSamsun |
P203077
|
FINISHED |
| Object | approximately 35 km east |
—
|
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 35 km east | Statement: [Çarşamba, distanceToSamsun, approximately 35 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSamsun Context triple: [Çarşamba, distanceToSamsun, approximately 35 km east]
-
A.
distanceToAnkara
Indicates the spatial distance between a given entity’s location and the city of Ankara.
-
B.
distanceFromKayseri
Indicates the spatial distance between a given entity and the location of Kayseri.
-
C.
distanceFromAntalya
Indicates the spatial distance between a given place or object and the city of Antalya.
-
D.
distanceToIstanbulApproxKm
Indicates the approximate distance, measured in kilometers, between a given place and Istanbul.
-
E.
distanceToİzmir
Indicates the spatial distance between a given entity and the city of İzmir.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a011d76f3f88190be3d7c9eb0552f34 |
completed | May 11, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_6a011cce684881909dd15776bb77a6e0 |
completed | May 11, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_6a011d764d108190b4a6f35595ddd9d4 |
completed | May 11, 2026, 12:06 a.m. |
Created at: April 29, 2026, 7:49 p.m.