Triple

T29048247
Position Surface form Disambiguated ID Type / Status
Subject Place d'Alésia shopping district E735193 entity
Predicate partOf P40 FINISHED
Object Quartier du Petit-Montrouge
Quartier du Petit-Montrouge is a residential neighborhood in Paris’s 14th arrondissement known for its lively commercial streets, village-like atmosphere, and proximity to major thoroughfares such as Place d’Alésia.
E1857897 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: Quartier du Petit-Montrouge | Statement: [Place d'Alésia shopping district, partOf, Quartier du Petit-Montrouge]
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: Quartier du Petit-Montrouge
Triple: [Place d'Alésia shopping district, partOf, Quartier du Petit-Montrouge]
Generated description
Quartier du Petit-Montrouge is a residential neighborhood in Paris’s 14th arrondissement known for its lively commercial streets, village-like atmosphere, and proximity to major thoroughfares such as Place d’Alésia.

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_69f077e64b88819094d37bdbca8191b3 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f66063cc04819098c27a663055d3d8 completed May 2, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a258905eef48190b349deacb485b2d4 completed June 7, 2026, 3:06 p.m.
NEDg Description generation batch_6a258e2829888190b1a5bdf92e8099f4 completed June 7, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_6a258e8403b08190b2f791773d620fc5 completed June 7, 2026, 3:30 p.m.
Created at: April 28, 2026, 10:06 a.m.