Triple

T13462716
Position Surface form Disambiguated ID Type / Status
Subject Mexico City Metro Line 12 stations E311411 entity
Predicate hasStation P35 FINISHED
Object Lomas Estrella E1041632 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: Lomas Estrella | Statement: [Mexico City Metro Line 12 stations, hasStation, Lomas Estrella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lomas Estrella
Context triple: [Mexico City Metro Line 12 stations, hasStation, Lomas Estrella]
  • A. Lomas Estrella chosen
    Lomas Estrella is a Mexico City Metro station serving the southeastern area of the city on Line 12.
  • B. Cerrillos
    Cerrillos is a commune and urban area within the Santiago Metropolitan Region of Chile, known primarily as a residential and industrial district of Greater Santiago.
  • C. El Cerrito
    El Cerrito is a small suburban city in California's San Francisco Bay Area, located in western Contra Costa County just north of Berkeley.
  • D. Pinar del Rey
    Pinar del Rey is a Madrid Metro station on Line 8 serving the Pinar del Rey neighborhood in the Hortaleza district of Madrid, Spain.
  • E. Lomas de Sotelo
    Lomas de Sotelo is a neighborhood in Mexico City known for hosting major facilities such as the Hipódromo de las Américas racetrack and various military and governmental installations.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0d95fc81909d9f73d5315dc7b4 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462522c88190a6a6e2e2292e2414 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.