Triple
T20271109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golfe de Saint-Tropez Airport |
E499093
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Cogolin |
—
|
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: Cogolin | Statement: [Golfe de Saint-Tropez Airport, nearbyCity, Cogolin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cogolin Context triple: [Golfe de Saint-Tropez Airport, nearbyCity, Cogolin]
-
A.
Cogolin
chosen
Cogolin is a Provençal town in southeastern France known for its traditional crafts and its location near the Gulf of Saint-Tropez on the French Riviera.
-
B.
Corragan
Corragan is a surname of Irish origin, often considered a variant spelling of the more common name Corrigan.
-
C.
Coracholan
Coracholan is an indigenous language of western Mexico, traditionally spoken by the Cora people in the Nayarit region.
-
D.
Malamocco
Malamocco is a historic settlement on the Lido island in the Venetian Lagoon, once an early seat of Venetian government and now a quiet coastal district of Venice.
-
E.
Cohbar
Cohbar is a biotechnology company focused on developing therapeutics based on mitochondrial biology to treat age-related and chronic diseases.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675de35188190840dc7d04c1d5fd9 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.