Triple

T11249656
Position Surface form Disambiguated ID Type / Status
Subject The Coalition E266291 entity
Predicate developmentExpertise P87264 FINISHED
Object cover-based shooter mechanics 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: cover-based shooter mechanics | Statement: [The Coalition, developmentExpertise, cover-based shooter mechanics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developmentExpertise
Context triple: [The Coalition, developmentExpertise, cover-based shooter mechanics]
  • A. softwareExperience
    Indicates the level or extent of a person's prior experience working with or using specific software.
  • B. skilledIn chosen
    Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
  • C. developmentLinkedTo
    Indicates that the development or progression of one entity is causally or contextually connected to the development or progression of another entity.
  • D. developmentRequires
    Indicates that the occurrence or progress of a development depends on the prior existence, fulfillment, or provision of another specified condition, resource, or action.
  • E. skillSet
    Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e93212448190b46b3799b0bdfa0f completed April 9, 2026, 6 p.m.
PD Predicate disambiguation batch_69d78793c00481908a3f764b610b77a4 completed April 9, 2026, 11:03 a.m.
Created at: April 8, 2026, 9:31 p.m.