Triple

T3414082
Position Surface form Disambiguated ID Type / Status
Subject LCTES E71965 entity
Predicate hasAbbreviation P43 FINISHED
Object LCTES E71965 NE 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: LCTES | Statement: [LCTES, hasAbbreviation, LCTES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LCTES
Context triple: [LCTES, hasAbbreviation, LCTES]
  • A. LCTES chosen
    LCTES (Languages, Compilers, and Tools for Embedded Systems) is an ACM SIGPLAN-sponsored conference focused on programming languages, compilation techniques, and software tools for embedded and real-time systems.
  • B. LCT
    LCT is the ICAO airline designator assigned to TAR Aerolíneas, a regional carrier based in Mexico.
  • C. LCL
    LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
  • D. CLVT
    CLVT is the stock ticker symbol for Clarivate Analytics, a global company that provides data, analytics, and insights to support innovation and research across various industries.
  • E. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb927e8d081908a5ab283da93beb2 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34be16dd48190a51f4e13a6a13a4f completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:15 p.m.