Triple

T25824208
Position Surface form Disambiguated ID Type / Status
Subject San Lázaro metro station E650481 entity
Predicate zoneWithinNetwork P39182 FINISHED
Object eastern sector of Mexico City Metro LITERAL 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: eastern sector of Mexico City Metro | Statement: [San Lázaro metro station, zoneWithinNetwork, eastern sector of Mexico City Metro]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: zoneWithinNetwork
Context triple: [San Lázaro metro station, zoneWithinNetwork, eastern sector of Mexico City Metro]
  • A. inNetwork
    Indicates that one entity is within the same defined network, system, or coverage group as another entity, such that network-based interactions or benefits apply between them.
  • B. zoneBased
    Indicates that the relationship or action is determined or constrained by specific geographic or logical zones.
  • C. networkArea
    Indicates that one entity defines, covers, or is responsible for a specific network area associated with another entity.
  • D. routeNetworkScope
    Indicates the extent or coverage within a route network to which a given relationship, rule, or operation applies.
  • E. isInArea chosen
    Indicates that one entity is located within the spatial bounds or region defined by another entity.
  • F. None of above.

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_69e7ab367fcc8190a5ff1e7f3da046a4 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f6019375888190a8f71cc7a978a3b7 completed May 2, 2026, 1:52 p.m.
PD Predicate disambiguation batch_69f4938b960081909b53c074a3e0c7c2 completed May 1, 2026, 11:50 a.m.
Created at: April 22, 2026, 7:31 a.m.