Triple

T3782547
Position Surface form Disambiguated ID Type / Status
Subject OPUS card E85452 entity
Predicate operator P179 FINISHED
Object exo
exo is the public transit authority serving the greater Montreal metropolitan area, operating commuter trains and buses across multiple suburban regions in Quebec, Canada.
 E387563 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: exo | Statement: [OPUS card, operator, exo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: exo
Context triple: [OPUS card, operator, exo]
  • A. Exos
    Exos is Seagate Technology’s high-capacity enterprise hard drive product line designed for data centers and large-scale storage environments.
  • B. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • C. Havoc
    Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
  • D. EXD
    EXD is the three-letter National Rail station code for Exeter St Davids railway station in Exeter, England.
  • E. X3
    X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
  • 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: exo
Triple: [OPUS card, operator, exo]
Generated description
exo is the public transit authority serving the greater Montreal metropolitan area, operating commuter trains and buses across multiple suburban regions in Quebec, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: exo
Target entity description: exo is the public transit authority serving the greater Montreal metropolitan area, operating commuter trains and buses across multiple suburban regions in Quebec, Canada.
  • A. Exos
    Exos is Seagate Technology’s high-capacity enterprise hard drive product line designed for data centers and large-scale storage environments.
  • B. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • C. Havoc
    Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
  • D. EXD
    EXD is the three-letter National Rail station code for Exeter St Davids railway station in Exeter, England.
  • E. X3
    X3 is the former designation of the standards body now known as INCITS, which oversees information technology standards in the United States.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3db11108190aa81ee8ed22709fe completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04353a881908e612a10572eb8c5 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f0e77efc8190b4459d4559261a2f completed March 14, 2026, 5:23 a.m.
NED2 Entity disambiguation (via description) batch_69b4f15cfde88190bcb2680b90f98111 completed March 14, 2026, 5:25 a.m.
Created at: March 9, 2026, 3:13 p.m.