Triple

T28057833
Position Surface form Disambiguated ID Type / Status
Subject Lapsis E709015 entity
Predicate portraysWorkType P1366 FINISHED
Object cable-laying for network infrastructure 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: cable-laying for network infrastructure | Statement: [Lapsis, portraysWorkType, cable-laying for network infrastructure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portraysWorkType
Context triple: [Lapsis, portraysWorkType, cable-laying for network infrastructure]
  • A. portrayedInWorkType
    Indicates that an entity is depicted or represented within a work of a specified type (such as a film, book, painting, or other creative medium).
  • B. portraysInWork
    Indicates that one entity depicts, represents, or plays the role of another entity within a specific creative work.
  • C. portraysProfession
    Indicates that one entity depicts or represents another entity in a specific profession or occupational role.
  • D. portrayerWorkDomain
    Indicates that a person who portrays a character (e.g., an actor) does so within a specified professional or creative domain (such as film, television, theater, or another medium).
  • E. typeOfWork chosen
    Indicates the kind or category of work associated with or performed by an entity.
  • 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_69ef9b6eb6d88190a3fea236eb0f7bed completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f7a225a77c81908f8953ccfeb14336 completed May 3, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69f7a06d4f108190bae3ab9ae431d2c7 completed May 3, 2026, 7:22 p.m.
Created at: April 27, 2026, 8:37 p.m.