Triple

T11056042
Position Surface form Disambiguated ID Type / Status
Subject FEMSA E261378 entity
Predicate hasSubsidiary P254 FINISHED
Object PTM
PTM is a subsidiary company within the FEMSA corporate group, operating as part of its diversified business portfolio in Latin America.
E902703 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: PTM | Statement: [FEMSA, hasSubsidiary, PTM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PTM
Context triple: [FEMSA, hasSubsidiary, PTM]
  • A. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • B. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • C. PTP
    PTP is a standardized protocol used to transfer digital images from cameras and other imaging devices to computers and other hosts.
  • D. PTP
    PTP is the IATA airport code for Pointe-à-Pitre International Airport, the main air gateway to Guadeloupe in the Caribbean.
  • E. PTP
    PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
  • 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: PTM
Triple: [FEMSA, hasSubsidiary, PTM]
Generated description
PTM is a subsidiary company within the FEMSA corporate group, operating as part of its diversified business portfolio in Latin America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PTM
Target entity description: PTM is a subsidiary company within the FEMSA corporate group, operating as part of its diversified business portfolio in Latin America.
  • A. MTM
    MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
  • B. MTM
    MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
  • C. PTP
    PTP is a standardized protocol used to transfer digital images from cameras and other imaging devices to computers and other hosts.
  • D. PTP
    PTP is the IATA airport code for Pointe-à-Pitre International Airport, the main air gateway to Guadeloupe in the Caribbean.
  • E. PTP
    PTP is a network-based time synchronization protocol defined by the IEEE 1588 standard that enables highly precise clock alignment across distributed systems.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a152b4819095b74a8996346077 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c86e0e6481908f091497313132c1 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.