Triple
T14715610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perinthus |
E345671
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Marmara Ereğlisi |
E651629
|
NE 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: Marmara Ereğlisi | Statement: [Perinthus, locatedNear, Marmara Ereğlisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marmara Ereğlisi Context triple: [Perinthus, locatedNear, Marmara Ereğlisi]
-
A.
Marmaraereğlisi
chosen
Marmaraereğlisi is a coastal town and district on the northern shore of the Sea of Marmara in northwestern Turkey, known for its beaches and proximity to Istanbul.
-
B.
Demirköprü
Demirköprü is a neighborhood within the Karşıyaka district of İzmir, Turkey.
-
C.
Güzelyurt
Güzelyurt is a historic town in Turkey’s Cappadocia region, known for its rock-cut churches, underground cities, and scenic valleys.
-
D.
Güzelyurt
Güzelyurt is a town in the northwestern part of Cyprus, known for its citrus orchards and archaeological sites.
-
E.
Kanlıca
Kanlıca is a historic Bosphorus neighborhood on Istanbul’s Asian side, famed for its waterfront views and traditional thick yogurt.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98513b081908b230f6ac79c72ad |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0913d6c8190886df4cd0a92aa80 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.