Triple

T8668401
Position Surface form Disambiguated ID Type / Status
Subject FuG 220 Lichtenstein SN-2 radar E205732 entity
Predicate azimuthCoverageApproximate P32751 FINISHED
Object 120 degrees 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: 120 degrees | Statement: [FuG 220 Lichtenstein SN-2 radar, azimuthCoverageApproximate, 120 degrees]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: azimuthCoverageApproximate
Context triple: [FuG 220 Lichtenstein SN-2 radar, azimuthCoverageApproximate, 120 degrees]
  • A. azimuthCoverage chosen
    Indicates the range or extent of directional angles (azimuths) over which something, such as a sensor or system, provides coverage or operates.
  • B. azimuthAccuracy
    Indicates the degree of precision or allowable error in the measured or specified azimuth angle between entities.
  • C. launchAzimuth
    Indicates the directional angle or bearing along which a launch (such as a rocket or missile) is initiated relative to a reference direction.
  • D. altitudeCoverageCharacteristic
    Indicates the range or specific values of altitude over which something (such as a system, sensor, or service) is designed to operate or provide coverage.
  • E. hemisphereCoverageByImaging
    Indicates the extent to which a particular hemisphere is covered or captured by an imaging procedure or dataset.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a48b548190b78259072b1224ee completed March 31, 2026, 10:20 p.m.
PD Predicate disambiguation batch_69cc4564e018819081036722f3e42a71 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:31 p.m.