Triple

T15748662
Position Surface form Disambiguated ID Type / Status
Subject MTS Bus E381788 entity
Predicate hasPart P35 FINISHED
Object MTS Rural
MTS Rural is the regional and rural bus service component of the MTS Bus public transportation system.
 E381786 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: MTS Rural | Statement: [MTS Bus, hasPart, MTS Rural]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTS Rural
Context triple: [MTS Bus, hasPart, MTS Rural]
  • A. MTS
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • B. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • C. MTS
    MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
  • D. MTC
    MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • E. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • 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: MTS Rural
Triple: [MTS Bus, hasPart, MTS Rural]
Generated description
MTS Rural is the regional and rural bus service component of the MTS Bus public transportation system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTS Rural
Target entity description: MTS Rural is the regional and rural bus service component of the MTS Bus public transportation system.
  • A. MTS chosen
    MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
  • B. MTS
    MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
  • C. MTS
    MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
  • D. MTC
    MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • E. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • F. None of above.

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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff830b85408190b9ae4d6752524b99 completed May 9, 2026, 6:55 p.m.
NEDg Description generation batch_69ff8388b3588190ae55c123bb19cb2c completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff84125e808190a4d465d9effad639 completed May 9, 2026, 6:59 p.m.
Created at: April 10, 2026, 4:46 a.m.