Triple

T33519067
Position Surface form Disambiguated ID Type / Status
Subject Flick E858450 entity
Predicate hasFlowFactor P178373 FINISHED
Object free 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: free | Statement: [Flick, hasFlowFactor, free]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFlowFactor
Context triple: [Flick, hasFlowFactor, free]
  • A. hasFlowRegime
    Indicates that one entity is characterized by, or operates under, a particular pattern or regime of flow.
  • B. hasFillingFactor
    Indicates that one entity is associated with a specific filling factor value characterizing how fully a space, volume, or capacity is occupied.
  • C. hasFlowForm
    Indicates that one entity possesses or is associated with a particular configuration, pattern, or form of flow (such as fluid, data, or traffic movement).
  • D. hasDirectionOfFlow
    Indicates that something moves or is transmitted from one entity or location toward another along a specific path or orientation.
  • E. hasFlowType
    Indicates the type or category of flow associated with or exhibited by an entity.
  • F. None of above. chosen

Provenance (4 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_69f349781c6c819082c516b260efe7e2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7107acf0481909b01467b9ebbde01 completed May 3, 2026, 9:08 a.m.
PD Predicate disambiguation batch_69f70f3a54d481909ba6bdda3647b761 completed May 3, 2026, 9:02 a.m.
PDg Predicate description generation batch_69f70fb41a9c8190a121e62e510dc18a completed May 3, 2026, 9:04 a.m.
Created at: May 1, 2026, 1:39 a.m.