Triple
T1558771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Sinop |
E33269
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Sinop harbor |
E114644
|
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: Sinop harbor | Statement: [Battle of Sinop, location, Sinop harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinop harbor Context triple: [Battle of Sinop, location, Sinop harbor]
-
A.
Sinop
chosen
Sinop is a historic port city on Turkey’s Black Sea coast, long valued for its strategic harbor and role in regional trade and defense.
-
B.
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.
-
C.
Port of İzmit
The Port of İzmit is a key Turkish maritime hub and industrial gateway located on the Gulf of İzmit along the Sea of Marmara.
-
D.
Yalta Sea Port
Yalta Sea Port is a major maritime harbor and transportation hub serving the resort city of Yalta on the southern coast of the Crimean Peninsula.
-
E.
Port of Bandırma
The Port of Bandırma is a significant Turkish maritime hub and industrial gateway located on the southern coast of the Sea of Marmara, serving both cargo and passenger traffic.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621102cc81909c5b777a105fc91c |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401e12088190b6f0f5b0d8a423cf |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:27 p.m.