Triple

T15448853
Position Surface form Disambiguated ID Type / Status
Subject Terrorist Surveillance Program E370094 entity
Predicate monitoredDirectionOfTraffic P3915 FINISHED
Object communications entering the United States 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: communications entering the United States | Statement: [Terrorist Surveillance Program, monitoredDirectionOfTraffic, communications entering the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: monitoredDirectionOfTraffic
Context triple: [Terrorist Surveillance Program, monitoredDirectionOfTraffic, communications entering the United States]
  • A. hasTrafficDirection
    Indicates that there is a specified flow or orientation of traffic associated with an entity (such as a road, lane, or route).
  • B. trafficDirection chosen
    Indicates the direction in which traffic is intended or allowed to move relative to a given reference point or segment.
  • C. transportDirection
    Indicates the directional flow or route along which something is transported from an origin toward a destination.
  • D. crossingDirection
    Indicates the direction in which one entity moves or passes across another reference point, boundary, or path.
  • E. hasTrafficMonitoring
    Indicates that an entity is equipped with or associated with a system or capability for observing, measuring, or analyzing traffic conditions or flows.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef9334c81908541e231b43eb012 completed April 16, 2026, 1:44 a.m.
PD Predicate disambiguation batch_69ded28276f481908c2038bb301e57cf completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:21 a.m.