Triple

T25039799
Position Surface form Disambiguated ID Type / Status
Subject Biarritz Lighthouse E627077 entity
Predicate nearbyBeach P17623 FINISHED
Object Grande Plage de Biarritz
Grande Plage de Biarritz is the main sandy beach of the French Basque coastal town of Biarritz, renowned for its surf-friendly waves, elegant seafront promenade, and historic seaside resort atmosphere.
E606935 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: Grande Plage de Biarritz | Statement: [Biarritz Lighthouse, nearbyBeach, Grande Plage de Biarritz]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grande Plage de Biarritz
Triple: [Biarritz Lighthouse, nearbyBeach, Grande Plage de Biarritz]
Generated description
Grande Plage de Biarritz is the main sandy beach of the French Basque coastal town of Biarritz, renowned for its surf-friendly waves, elegant seafront promenade, and historic seaside resort atmosphere.

Provenance (5 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_69e2ff2a2c088190be513727ee8bfe78 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f45309e63c8190bd2a221a6cd03077 completed May 1, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1067b37fb88190bd83fba6e90f3687 completed May 22, 2026, 2:26 p.m.
NEDg Description generation batch_6a10682a780481909e65b07b84970e88 completed May 22, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a10690ca604819082ba4cec816958cb completed May 22, 2026, 2:32 p.m.
Created at: April 18, 2026, 6:08 a.m.