Triple

T3552413
Position Surface form Disambiguated ID Type / Status
Subject LIRR Hempstead Branch E75139 entity
Predicate usesControlSystem P43307 FINISHED
Object centralized traffic control 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: centralized traffic control | Statement: [LIRR Hempstead Branch, usesControlSystem, centralized traffic control]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesControlSystem
Context triple: [LIRR Hempstead Branch, usesControlSystem, centralized traffic control]
  • A. usedCommandAndControlSystem
    Indicates that an entity employed a specific command-and-control system to coordinate, manage, or direct operations or activities.
  • B. canControl
    Indicates that one entity has the ability or authority to direct, manage, or influence the behavior or state of another entity.
  • C. controlMethods chosen
    Indicates the methods or techniques used by one entity to direct, regulate, or influence the behavior, operation, or state of another entity.
  • D. exportControl
    Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
  • E. robotControlSystem
    Indicates a relationship where a system monitors, directs, and coordinates the actions and behaviors of one or more robots.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05256f081908b8d6a5df917e679 completed March 8, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69adb83270ac819083967db0570167d2 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:20 p.m.