Triple

T15857735
Position Surface form Disambiguated ID Type / Status
Subject Thales Raytheon Systems E384502 entity
Predicate abbreviation P43 FINISHED
Object TRS
TRS is the commonly used abbreviation for ThalesRaytheonSystems, a defense electronics joint venture between Thales Group and Raytheon.
E1179986 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: TRS | Statement: [Thales Raytheon Systems, abbreviation, TRS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRS
Context triple: [Thales Raytheon Systems, abbreviation, TRS]
  • A. TRS
    TRS is the IATA airport code for Trieste – Friuli Venezia Giulia Airport, serving the Trieste area in northeastern Italy.
  • B. TS
    TS is the commonly used abbreviation for the Supreme Court of Spain, the country's highest judicial authority in most legal matters.
  • C. TS
    TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
  • D. TS
    TS is the vehicle registration code used on license plates for the Traunstein district in Bavaria, Germany.
  • E. TS
    TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
  • 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: TRS
Triple: [Thales Raytheon Systems, abbreviation, TRS]
Generated description
TRS is the commonly used abbreviation for ThalesRaytheonSystems, a defense electronics joint venture between Thales Group and Raytheon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TRS
Target entity description: TRS is the commonly used abbreviation for ThalesRaytheonSystems, a defense electronics joint venture between Thales Group and Raytheon.
  • A. TRS
    TRS is the IATA airport code for Trieste – Friuli Venezia Giulia Airport, serving the Trieste area in northeastern Italy.
  • B. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • C. TS
    TS is the official vehicle registration code used on motor vehicles registered in the Indian state of Telangana.
  • D. TS
    TS is the vehicle registration code assigned to vehicles registered in Tsageri Municipality in Georgia.
  • E. TS
    TS is the commonly used abbreviation for the Supreme Court of Spain, the country's highest judicial authority in most legal matters.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555808688190882b610109d1e5f4 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa14c1e508190a182db216cc4e326 completed May 9, 2026, 9:04 p.m.
NEDg Description generation batch_69ffa41b33cc819096553ee33b144d36 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4a168108190b6edf41830aa4cd0 completed May 9, 2026, 9:18 p.m.
Created at: April 10, 2026, 4:50 a.m.