Triple
T15288335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calanques National Park |
E365461
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Cassis |
E457576
|
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: Cassis | Statement: [Calanques National Park, nearestCity, Cassis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cassis Context triple: [Calanques National Park, nearestCity, Cassis]
-
A.
Cassis
chosen
Cassis is a picturesque Mediterranean coastal town in southern France, renowned for its dramatic limestone cliffs, calanques, and white and rosé wines.
-
B.
Cèze
The Cèze is a river in southern France known for its scenic gorges, clear waters, and popular swimming and canoeing spots.
-
C.
Le Vin
Le Vin is a section of Charles Baudelaire’s poetry collection Les Fleurs du mal that explores themes of intoxication, escape, and existential despair through the motif of wine.
-
D.
Fagerolles
Fagerolles is a fictional painter in Émile Zola’s novel "L’Œuvre," representing a commercially successful but artistically compromised contrast to the more idealistic artist Mahoudeau.
-
E.
Aligoté
Aligoté is a white grape variety from Burgundy known for producing light, crisp, and high-acid wines often enjoyed young.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e5635b4819092a69b5806d15bff |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7b73a08190b06856c05ea8c80d |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.