Triple

T12649193
Position Surface form Disambiguated ID Type / Status
Subject Metro Chapultepec E302110 entity
Predicate hasStationCode P1289 FINISHED
Object CHP
CHP is the station code for Metro Chapultepec, a major Mexico City Metro station serving the Chapultepec area.
E994798 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: CHP | Statement: [Metro Chapultepec, hasStationCode, CHP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHP
Context triple: [Metro Chapultepec, hasStationCode, CHP]
  • A. CHP
    CHP (Cumhuriyet Halk Partisi) is a major center-left, secular, and Kemalist political party in Turkey and one of the country’s oldest and most influential parties.
  • B. CHP
    CHP is the statewide law enforcement agency responsible for traffic safety and highway patrol in California.
  • C. MHP
    MHP is a Turkish far-right nationalist political party known for its hardline stance on national unity and security.
  • D. MHP
    MHP is the IATA airport code for Minsk-1 Airport, a former civil airport located in Minsk, Belarus.
  • E. Peoples' Democratic Party
    The Peoples' Democratic Party is a left-wing, pro-Kurdish political party in Turkey known for advocating minority rights, democracy, and social justice.
  • 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: CHP
Triple: [Metro Chapultepec, hasStationCode, CHP]
Generated description
CHP is the station code for Metro Chapultepec, a major Mexico City Metro station serving the Chapultepec area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CHP
Target entity description: CHP is the station code for Metro Chapultepec, a major Mexico City Metro station serving the Chapultepec area.
  • A. CHP
    CHP is the statewide law enforcement agency responsible for traffic safety and highway patrol in California.
  • B. CHP
    CHP (Cumhuriyet Halk Partisi) is a major center-left, secular, and Kemalist political party in Turkey and one of the country’s oldest and most influential parties.
  • C. MHP
    MHP is a Turkish far-right nationalist political party known for its hardline stance on national unity and security.
  • D. MHP
    MHP is the IATA airport code for Minsk-1 Airport, a former civil airport located in Minsk, Belarus.
  • E. Peoples' Democratic Party
    The Peoples' Democratic Party is a left-wing, pro-Kurdish political party in Turkey known for advocating minority rights, democracy, and social justice.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6687dad6c8190bb72bfebf6636a37 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f6697d8ac88190b4ead9ce47f3a705 completed May 2, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69f66a2da60881909b0a689821456bb4 completed May 2, 2026, 9:18 p.m.
Created at: April 9, 2026, 5:18 p.m.