Triple

T27463502
Position Surface form Disambiguated ID Type / Status
Subject Parvis Notre-Dame – Place Jean-Paul-II E693114 entity
Predicate accessibleBy P1017 FINISHED
Object Paris RER Saint-Michel–Notre-Dame station
Paris RER Saint-Michel–Notre-Dame station is a major central Paris commuter rail hub located near the Notre-Dame Cathedral, providing key RER connections along the Seine.
 E1802995 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: Paris RER Saint-Michel–Notre-Dame station | Statement: [Parvis Notre-Dame – Place Jean-Paul-II, accessibleBy, Paris RER Saint-Michel–Notre-Dame station]
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: Paris RER Saint-Michel–Notre-Dame station
Triple: [Parvis Notre-Dame – Place Jean-Paul-II, accessibleBy, Paris RER Saint-Michel–Notre-Dame station]
Generated description
Paris RER Saint-Michel–Notre-Dame station is a major central Paris commuter rail hub located near the Notre-Dame Cathedral, providing key RER connections along the Seine.

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_69ef538105548190a771cc5a0cf8c211 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62dfb084881909cdf5ac0324d1f92 completed May 2, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15c8daa150819091310054593307d5 completed May 26, 2026, 4:22 p.m.
NEDg Description generation batch_6a15ca9b9b888190a98c57af571fe49d completed May 26, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_6a15cc3cef0c8190b7b5d6316dc2a9ff completed May 26, 2026, 4:37 p.m.
Created at: April 27, 2026, 12:51 p.m.