Triple
T23090505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anapa Airport |
E575733
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Anapa |
—
|
NE NERFINISHED |
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: Anapa | Statement: [Anapa Airport, locatedNear, Anapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anapa Context triple: [Anapa Airport, locatedNear, Anapa]
-
A.
Anapa
chosen
Anapa is a resort city on Russia’s Black Sea coast, known for its sandy beaches, mild climate, and popularity as a family vacation destination.
-
B.
Adra
Adra is a small settlement located within Harku Parish in northern Estonia.
-
C.
Adra
Adra is a coastal municipality in the southwestern part of Spain’s Province of Almería, known for its fishing port and agricultural production.
-
D.
Anadia
Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
-
E.
Salaga
Salaga is a historic town in northern Ghana that once served as a major hub in the trans-Saharan slave trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da99bec81908ecadf8dab10d1b7 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.