Triple

T30817916
Position Surface form Disambiguated ID Type / Status
Subject Saint-Étienne tramway E784834 entity
Predicate primaryCityCentreTerminus P132157 FINISHED
Object Place du Peuple
Place du Peuple is a central public square in Saint-Étienne, France, serving as a key hub for urban life, commerce, and public transport.
 E1932808 NE FINISHED

How this triple was built (3 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: Place du Peuple | Statement: [Saint-Étienne tramway, primaryCityCentreTerminus, Place du Peuple]
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: Place du Peuple
Triple: [Saint-Étienne tramway, primaryCityCentreTerminus, Place du Peuple]
Generated description
Place du Peuple is a central public square in Saint-Étienne, France, serving as a key hub for urban life, commerce, and public transport.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: primaryCityCentreTerminus
Context triple: [Saint-Étienne tramway, primaryCityCentreTerminus, Place du Peuple]
  • A. cityCenterTerminusArea chosen
    Indicates that the referenced area serves as the terminus or end-point of a route or line located in or at the center of a city.
  • B. isTransportCenterOf
    Indicates that a location functions as a primary hub or central node for transportation activities serving another area or network.
  • C. isCityCentreStop
    Indicates that a stop is located within or serves the central area of a city.
  • D. cityCentreAccess
    Indicates whether an entity has access to, or is reachable within, the central area of a city.
  • E. municipalCentre
    Indicates that a location functions as the primary administrative or civic center for a municipality.
  • F. None of above.

Provenance (6 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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a033d975d788190aafc4be10d6c5c1c completed May 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbe5a41481908df831b3362acac4 completed June 10, 2026, 1:20 a.m.
NEDg Description generation batch_6a28bca6faf881908b5254e8071d33fe completed June 10, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd2670f08190a759af462117aec1 completed June 10, 2026, 1:25 a.m.
PD Predicate disambiguation batch_6a033cc2668481908cb696e57632a68f completed May 12, 2026, 2:44 p.m.
Created at: April 29, 2026, 8:44 p.m.