Triple
T14663311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göksu River |
E344299
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Taşucu |
E876463
|
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: Taşucu | Statement: [Göksu River, nearbySettlement, Taşucu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taşucu Context triple: [Göksu River, nearbySettlement, Taşucu]
-
A.
Taşucu
chosen
Taşucu is a coastal town in southern Turkey known for its port on the Mediterranean Sea and ferry connections to Cyprus.
-
B.
Gürsu
Gürsu is a district and rapidly developing urban area located within Turkey’s northwestern Bursa Province.
-
C.
Karakoçan
Karakoçan is a town and district in eastern Turkey known for its predominantly Kurdish population and location within Elazığ Province.
-
D.
Tuzlukçu
Tuzlukçu is a small rural district and town in central Turkey, situated within Konya Province on the Anatolian plateau.
-
E.
Malkara
Malkara is a town and district in Turkey’s European region of Thrace, known for its agricultural economy and location within Tekirdağ Province.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54ae5ac81908cc69891f280e5f7 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e4789481909a64622a1d284373 |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.