Triple

T19807915
Position Surface form Disambiguated ID Type / Status
Subject Boulevard de Charonne E475862 entity
Predicate hasPublicTransport P1288 FINISHED
Object Avron metro station
Avron metro station is a Paris Métro station in the 11th arrondissement, serving Line 2 near Place de la Nation.
E1395533 NE FINISHED

How this triple was built (4 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: Avron metro station | Statement: [Boulevard de Charonne, hasPublicTransport, Avron metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avron metro station
Context triple: [Boulevard de Charonne, hasPublicTransport, Avron metro station]
  • A. Avlabari Metro Station
    Avlabari Metro Station is a rapid transit station on the Tbilisi Metro system serving the historic Avlabari neighborhood in Georgia’s capital city.
  • B. Erragadda metro station
    Erragadda metro station is an elevated station on the Hyderabad Metro system serving the Erragadda area of the city.
  • C. Alby metro station
    Alby metro station is a Stockholm Metro station serving the suburb of Alby in Botkyrka Municipality, Sweden.
  • D. Shoush Metro Station
    Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
  • E. Rissne metro station
    Rissne metro station is a Stockholm metro station on the blue line, serving the Rissne district in Sundbyberg, Sweden.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Avron metro station
Triple: [Boulevard de Charonne, hasPublicTransport, Avron metro station]
Generated description
Avron metro station is a Paris Métro station in the 11th arrondissement, serving Line 2 near Place de la Nation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avron metro station
Target entity description: Avron metro station is a Paris Métro station in the 11th arrondissement, serving Line 2 near Place de la Nation.
  • A. Avlabari Metro Station
    Avlabari Metro Station is a rapid transit station on the Tbilisi Metro system serving the historic Avlabari neighborhood in Georgia’s capital city.
  • B. Erragadda metro station
    Erragadda metro station is an elevated station on the Hyderabad Metro system serving the Erragadda area of the city.
  • C. Alby metro station
    Alby metro station is a Stockholm Metro station serving the suburb of Alby in Botkyrka Municipality, Sweden.
  • D. Shoush Metro Station
    Shoush Metro Station is a stop on Tehran’s Metro system serving passengers along Line 1 in the Shoush neighborhood.
  • E. Rissne metro station
    Rissne metro station is a Stockholm metro station on the blue line, serving the Rissne district in Sundbyberg, Sweden.
  • F. None of above. chosen

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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65429fec8819091e20908101b50eb completed April 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c50e7bbc81908808e8e734f6a360 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c6c26e708190aeb42569dc5e107c completed May 16, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a07c7549de08190916e3e48125beebb completed May 16, 2026, 1:24 a.m.
Created at: April 10, 2026, 1:49 p.m.