Triple

T3061205
Position Surface form Disambiguated ID Type / Status
Subject Visual Component Library E61999 entity
Predicate includes P1393 FINISHED
Object TListBox E209549 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: TListBox | Statement: [Visual Component Library, includes, TListBox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TListBox
Context triple: [Visual Component Library, includes, TListBox]
  • A. Lister
    Lister is a surname most famously associated with Joseph Lister, the pioneering British surgeon who introduced antiseptic techniques to modern medicine.
  • B. PTLIS
    PTLIS is the UN/LOCODE designation for the port and city of Lisbon, Portugal, used in international trade and transport documentation.
  • C. Lazarus Component Library chosen
    Lazarus Component Library is a collection of visual and non-visual components used to build cross-platform GUI applications with the Lazarus IDE and Free Pascal.
  • D. litas
    The litas was the national currency of Lithuania before the adoption of the euro.
  • E. Listahanan
    Listahanan is the Philippine government’s national household targeting system used to identify and prioritize poor and vulnerable families for social protection programs.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9e1e248190b5ed5ebcdad1321e completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0e757481908eb1d9693474c49d completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.