Triple
T3232929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alushta |
E67783
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Partenit |
E73810
|
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: Partenit | Statement: [Alushta, hasNearbySettlement, Partenit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Partenit Context triple: [Alushta, hasNearbySettlement, Partenit]
-
A.
Partenit
chosen
Partenit is a seaside resort town on the southern coast of Crimea, known for its picturesque bays, mild climate, and popular holiday facilities.
-
B.
Pirita
Pirita is a coastal district of Tallinn, Estonia, known for its beaches, marina, and extensive green areas.
-
C.
Paltamo
Paltamo is a small municipality in the Kainuu region of Finland, known as the birthplace of the national poet Eino Leino.
-
D.
Ahtisaari
Ahtisaari is the surname of Martti Ahtisaari, the Finnish diplomat and former president renowned for his international peace mediation efforts and Nobel Peace Prize.
-
E.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedb718c8190aae12f763033713a |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2773b494c8190a2c0c5042e8eaa55 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.