Triple

T3630206
Position Surface form Disambiguated ID Type / Status
Subject Louis C.K. E76934 entity
Predicate grewUpIn P1041 FINISHED
Object Mexico City, Mexico E685 NE FINISHED

How this triple was built (2 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: Mexico City, Mexico | Statement: [Louis C.K., grewUpIn, Mexico City, Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mexico City, Mexico
Context triple: [Louis C.K., grewUpIn, Mexico City, Mexico]
  • A. Mexico City chosen
    Mexico City is the densely populated cultural, political, and economic center of Mexico, known for its rich history, colonial architecture, and vibrant urban life.
  • B. Cuauhtémoc, Mexico City
    Cuauhtémoc is a central borough of Mexico City that serves as the city’s historic, political, and cultural core, encompassing major landmarks, government buildings, and commercial districts.
  • C. Tlalpan, Mexico City
    Tlalpan, Mexico City is a large southern borough of Mexico City known for its historic center, extensive green areas, and mix of urban and rural zones.
  • D. Lomas de Sotelo, Mexico City
    Lomas de Sotelo, Mexico City is a district in the northwest of Mexico City known for its major military installations and government facilities.
  • E. Mexico City Metro
    The Mexico City Metro is a large rapid transit system serving Mexico City and its metropolitan area, known for its extensive network, high ridership, and iconic pictogram-based station signage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc300223881909019982ebf194f78 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4c189208190b387c2f504047a35 completed March 14, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:23 p.m.