Triple

T3579773
Position Surface form Disambiguated ID Type / Status
Subject Bagshot railway station E75770 entity
Predicate hasCISDisplays P49832 FINISHED
Object yes 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: yes | Statement: [Bagshot railway station, hasCISDisplays, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCISDisplays
Context triple: [Bagshot railway station, hasCISDisplays, yes]
  • A. hasReplicaDisplays
    Indicates that an entity features or presents one or more replica items as displays.
  • B. CISStatus
    Indicates the compliance or certification status of an entity with respect to CIS (Center for Internet Security) benchmarks or standards.
  • C. hasDisplayType
    Indicates the type or category of display associated with an entity, such as the format, mode, or presentation style used to show its content.
  • D. includesDisplayEngine
    Indicates that one entity contains or incorporates another entity that functions as a display engine.
  • E. hasOuterDisplay
    Indicates that one entity serves as the external or outward-facing display component of another entity.
  • F. None of above. chosen

Provenance (4 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ffecdc8190bf01c8ba90e3733e completed March 8, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69adb83810c481909c645c08b978edc1 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb8e4ba948190a9b777cf7f788b96 completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:21 p.m.