Triple
T15806461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazilli |
E383227
|
entity |
| Predicate | hasNeighbouringDistrict |
P17964
|
FINISHED |
| Object | Karacasu |
E1034488
|
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: Karacasu | Statement: [Nazilli, hasNeighbouringDistrict, Karacasu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karacasu Context triple: [Nazilli, hasNeighbouringDistrict, Karacasu]
-
A.
Karacasu
chosen
Karacasu is a district in western Turkey known for its proximity to the ancient city of Aphrodisias and its traditional pottery.
-
B.
Derinkuyu
Derinkuyu is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and capacity to shelter thousands of people.
-
C.
Kartepe
Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
-
D.
Bağçasaray
Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
-
E.
Niksar
Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52751348190964e82463ce9dd20 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa939b4608190ac411b2f2f61e19e |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.