Triple

T34464366
Position Surface form Disambiguated ID Type / Status
Subject Les Eyzies-de-Tayac-Sireuil E884729 entity
Predicate hasSite P1205 FINISHED
Object Grotte du Grand Roc
Grotte du Grand Roc is a famous limestone cave in southwestern France renowned for its exceptionally dense and delicate stalactite and stalagmite formations.
E2100091 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: Grotte du Grand Roc | Statement: [Les Eyzies-de-Tayac-Sireuil, hasSite, Grotte du Grand Roc]
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: Grotte du Grand Roc
Triple: [Les Eyzies-de-Tayac-Sireuil, hasSite, Grotte du Grand Roc]
Generated description
Grotte du Grand Roc is a famous limestone cave in southwestern France renowned for its exceptionally dense and delicate stalactite and stalagmite formations.

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_69f349c73a94819094dfcf50d00620b8 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71998ee14819090e17dfaa0c214a4 completed May 3, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729d189848190af3f838c09ca7a8a completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372ac5184481908b9f62bdae21ee5d completed June 21, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a372b1cdbcc8190a2d89dbfdfcdde95 completed June 21, 2026, 12:06 a.m.
Created at: May 1, 2026, 2 a.m.