Triple

T7995963
Position Surface form Disambiguated ID Type / Status
Subject Buckner Station E186124 entity
Predicate isConnectionPoint P22813 FINISHED
Object true 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: true | Statement: [Buckner Station, isConnectionPoint, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isConnectionPoint
Context triple: [Buckner Station, isConnectionPoint, true]
  • A. intermediateConnectionPoint
    Indicates a point that serves as a non-final, in-between link or junction within a larger connection or path between entities.
  • B. isReferencePointFor
    Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
  • C. hasPortConnection
    Indicates that one entity is linked to another via a port or interface through which data, power, or signals can be transmitted.
  • D. isPointWhere chosen
    Indicates that one entity is the specific location or point at which another entity, event, or condition occurs or is defined.
  • E. isMajorConnectorFor
    Indicates that one entity serves as a primary or critical linkage or pathway connecting other entities within a system or network.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c7547dc8190a60a06b3d61764b0 completed March 31, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69cb0483d3b48190b250c7603d747bca completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:17 p.m.