Triple

T16460842
Position Surface form Disambiguated ID Type / Status
Subject Nueva Segovia Department E399800 entity
Predicate hasBorderTown P847 FINISHED
Object Jalapa E1251440 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: Jalapa | Statement: [Nueva Segovia Department, hasBorderTown, Jalapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jalapa
Context triple: [Nueva Segovia Department, hasBorderTown, Jalapa]
  • A. Jalapa
    Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
  • B. Jalapa chosen
    Jalapa is a principal city in northern Nicaragua’s Nueva Segovia Department, known as a regional center for agriculture and commerce.
  • C. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • D. Tehuacán
    Tehuacán is a major city in southeastern Mexico known historically for its mineral springs, agricultural production, and role as a regional commercial center.
  • E. Chiautla
    Chiautla is a municipality and town in the State of Mexico, known for its traditional festivals and location within the eastern part of the Mexico City metropolitan area.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d80e66c8190b2b3199efe9cfaa1 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a014134601c81909f7f4a95d558e067 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:10 a.m.