Triple

T11001391
Position Surface form Disambiguated ID Type / Status
Subject Bistatic radar E260011 entity
Predicate hasTransmitterLocation P15186 FINISHED
Object separate from receiver 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: separate from receiver | Statement: [Bistatic radar, hasTransmitterLocation, separate from receiver]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTransmitterLocation
Context triple: [Bistatic radar, hasTransmitterLocation, separate from receiver]
  • A. transmitterLocation chosen
    Indicates the spatial position or place where a transmitter is situated or operates.
  • B. hasLocationComponent
    Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
  • C. hasSatelliteLocation
    Indicates that an entity has a secondary or remote location associated with it, such as a branch, satellite office, or auxiliary site.
  • D. locationOfBroadcast
    Indicates the place or geographic area from which a broadcast is transmitted or originates.
  • E. hasLocationRole
    Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d68b608190a8d016b9383e82f8 completed April 9, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69d72e93ac648190b46c5d12bf3eb1e9 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.