Triple

T9118808
Position Surface form Disambiguated ID Type / Status
Subject Line 3 (Mexico City Metro) E218789 entity
Predicate hasStation P35 FINISHED
Object Eugenia E328856 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: Eugenia | Statement: [Line 3 (Mexico City Metro), hasStation, Eugenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugenia
Context triple: [Line 3 (Mexico City Metro), hasStation, Eugenia]
  • A. Eugenia chosen
    Eugenia is a feminine given name of Greek origin, commonly used in various European and Latin American cultures.
  • B. Sarraméa
    Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
  • C. Acacías
    Acacías is a Colombian city in the Meta Department known for its oil industry, agriculture, and role as a gateway to the Llanos Orientales plains.
  • D. Anamirta
    Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
  • E. Wenzelia
    Wenzelia is a genus of flowering plants in the citrus family Rutaceae, comprising shrubs or small trees native to parts of Southeast Asia and the Pacific.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a7c6d48190a015efd17a017ca1 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047baf5e48190aab0eb19908fabfc completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:17 p.m.