Triple

T1371683
Position Surface form Disambiguated ID Type / Status
Subject Lockheed U-2 E30124 entity
Predicate variant P4680 FINISHED
Object TR-1A
The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
 E158381 NE FINISHED

How this triple was built (4 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: TR-1A | Statement: [Lockheed U-2, variant, TR-1A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TR-1A
Context triple: [Lockheed U-2, variant, TR-1A]
  • A. T-346A
    T-346A is the Italian Air Force’s designation for the M-346 Master, an advanced jet trainer and light attack aircraft developed by Leonardo.
  • B. T-68
    The T-68 was an early generation light rail tram used on the Manchester Metrolink system in the UK before being superseded by newer models.
  • C. Traktor Chelyabinsk
    Traktor Chelyabinsk is a professional ice hockey club from Chelyabinsk, Russia, historically recognized as one of the prominent teams in Soviet and Russian hockey.
  • D. TRST
    TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
  • E. Tekrad
    Tekrad was the original name of Tektronix, an American company known for its pioneering electronic test and measurement equipment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TR-1A
Triple: [Lockheed U-2, variant, TR-1A]
Generated description
The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TR-1A
Target entity description: The TR-1A is a high-altitude tactical reconnaissance aircraft developed from the Lockheed U-2, optimized for battlefield surveillance and intelligence-gathering missions.
  • A. T-346A
    T-346A is the Italian Air Force’s designation for the M-346 Master, an advanced jet trainer and light attack aircraft developed by Leonardo.
  • B. T-68
    The T-68 was an early generation light rail tram used on the Manchester Metrolink system in the UK before being superseded by newer models.
  • C. Traktor Chelyabinsk
    Traktor Chelyabinsk is a professional ice hockey club from Chelyabinsk, Russia, historically recognized as one of the prominent teams in Soviet and Russian hockey.
  • D. TRST
    TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
  • E. Tekrad
    Tekrad was the original name of Tektronix, an American company known for its pioneering electronic test and measurement equipment.
  • F. None of above. chosen

Provenance (5 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f314c081909c0ab80397d96abb completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd481de608190bed1dc385209320e completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd6a03b70819096bdf7ec3b447756 completed March 8, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69acd71971448190940136b8a44040be completed March 8, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:57 p.m.