Triple

T3772482
Position Surface form Disambiguated ID Type / Status
Subject TGM suburban rail line E83228 entity
Predicate abbreviation P43 FINISHED
Object TGM
TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
 E387100 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: TGM | Statement: [TGM suburban rail line, abbreviation, TGM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TGM
Context triple: [TGM suburban rail line, abbreviation, TGM]
  • A. TfGM
    TfGM is the public body responsible for planning, coordinating, and improving public transport and related infrastructure across the Greater Manchester region in England.
  • B. TG
    TG is the IATA airline designator used to identify Thai Airways International on flight schedules and tickets.
  • C. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. TQG
    "TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
  • 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: TGM
Triple: [TGM suburban rail line, abbreviation, TGM]
Generated description
TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TGM
Target entity description: TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
  • A. TfGM
    TfGM is the public body responsible for planning, coordinating, and improving public transport and related infrastructure across the Greater Manchester region in England.
  • B. TG
    TG is the IATA airline designator used to identify Thai Airways International on flight schedules and tickets.
  • C. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • D. TM
    TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
  • E. TQG
    "TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc3219b881908a2f82126f9a679d completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e52bb2d08190b457dd517ff366d7 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e99c942c819094e2228bd3dc3b30 completed March 14, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69b4ea201fe8819098ac5459c39b258c completed March 14, 2026, 4:54 a.m.
Created at: March 8, 2026, 3:36 p.m.