Triple

T17699871
Position Surface form Disambiguated ID Type / Status
Subject Joliette station E441267 entity
Predicate hasStationCode P1289 FINISHED
Object JO
JO is the station code used to identify Joliette station in transportation and ticketing systems.
 E1283082 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: JO | Statement: [Joliette station, hasStationCode, JO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JO
Context triple: [Joliette station, hasStationCode, JO]
  • A. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. JE
    JE is the station code used to identify Jean-Drapeau station in the Montreal Metro system.
  • D. JI
    JI is the IATA airline designator assigned to Meraj Airlines, an Iranian passenger carrier.
  • E. J
    J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
  • 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: JO
Triple: [Joliette station, hasStationCode, JO]
Generated description
JO is the station code used to identify Joliette station in transportation and ticketing systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JO
Target entity description: JO is the station code used to identify Joliette station in transportation and ticketing systems.
  • A. JO
    JO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Hashemite Kingdom of Jordan.
  • B. Jo
    Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
  • C. JE
    JE is the station code used to identify Jean-Drapeau station in the Montreal Metro system.
  • D. JI
    JI is the IATA airline designator assigned to Meraj Airlines, an Iranian passenger carrier.
  • E. J
    J is a New York City Subway service that runs through Brooklyn and Queens into Manhattan, serving neighborhoods in eastern Brooklyn and southern Queens.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e471597d5c8190bd06337239739cd7 completed April 19, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a022337cd58819083e2f87b3afa6d97 completed May 11, 2026, 6:43 p.m.
NEDg Description generation batch_6a0228ff746c8190a0bbd20050895faf completed May 11, 2026, 7:07 p.m.
NED2 Entity disambiguation (via description) batch_6a02295aec988190b7b6ecd509616ffa completed May 11, 2026, 7:09 p.m.
Created at: April 10, 2026, 10:04 a.m.