Triple
T3470775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taganrog |
E73252
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Taganrog seaport |
E73252
|
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: Taganrog seaport | Statement: [Taganrog, hasLandmark, Taganrog seaport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taganrog seaport Context triple: [Taganrog, hasLandmark, Taganrog seaport]
-
A.
Taganrog
chosen
Taganrog is a port city in southwestern Russia on the northern coast of the Sea of Azov, known for its maritime trade and as the birthplace of writer Anton Chekhov.
-
B.
Novorossiysk
Novorossiysk is a major port city on Russia’s Black Sea coast that serves as an important naval and commercial hub.
-
C.
Port of Yuzhne
The Port of Yuzhne is one of Ukraine’s largest and deepest Black Sea seaports, serving as a major hub for bulk cargo and international maritime trade.
-
D.
Port of Berdyansk
The Port of Berdyansk is a key commercial seaport on the northern coast of the Sea of Azov, serving as an important maritime gateway for regional trade and industry.
-
E.
Port of Kherson
The Port of Kherson is a key river and sea transport hub on the Dnieper River near the Black Sea, serving as an important center for cargo handling and regional trade in southern Ukraine.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb3af0cc81909e575828caeaeae0 |
completed | March 8, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdce42688190b6f33b39649fedd7 |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:17 p.m.