Triple
T8366731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khadjibey |
E197145
|
entity |
| Predicate | locatedOnBodyOfWater |
P212
|
FINISHED |
| Object | Khadzhibey Liman |
E366171
|
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: Khadzhibey Liman | Statement: [Khadjibey, locatedOnBodyOfWater, Khadzhibey Liman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khadzhibey Liman Context triple: [Khadjibey, locatedOnBodyOfWater, Khadzhibey Liman]
-
A.
Port of Gemlik
The Port of Gemlik is a significant Turkish maritime hub on the Sea of Marmara, known especially for its role in container, automotive, and general cargo trade.
-
B.
Liman
Liman is a surname most notably associated with American film director and producer Doug Liman.
-
C.
Ambarlı Port
Ambarlı Port is a major container and cargo seaport complex on the Sea of Marmara serving as one of Istanbul and Turkey’s key maritime trade hubs.
-
D.
İskenderun Port
İskenderun Port is a major commercial seaport on Turkey’s eastern Mediterranean coast, serving as a key hub for regional trade and industry.
-
E.
Sevastopol Bay
chosen
Sevastopol Bay is a strategic natural harbor on the Black Sea in Crimea, known for its naval history and role as the main base of the Russian Black Sea Fleet.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808cf80c8190941c3cc0248a5df2 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc78c0c208190ba590c74512a4043 |
completed | April 2, 2026, 1:34 a.m. |
Created at: March 30, 2026, 6 p.m.