Triple

T1528227
Position Surface form Disambiguated ID Type / Status
Subject European starling E32382 entity
Predicate flightPattern P8770 FINISHED
Object strong direct flight 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: strong direct flight | Statement: [European starling, flightPattern, strong direct flight]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: flightPattern
Context triple: [European starling, flightPattern, strong direct flight]
  • A. flightStyle chosen
    Indicates the characteristic manner or pattern in which an entity performs or exhibits flight.
  • B. flightRules
    Indicates the regulatory or procedural rules that govern how a flight must be conducted or operated.
  • C. flightRegime
    Indicates the operational conditions or phase of flight under which an aircraft or aerospace vehicle is functioning (e.g., speed, altitude, and atmospheric regime).
  • D. flightRoute
    Indicates a path or sequence of locations that a particular flight travels between, typically from its origin to its destination (and possibly via intermediate stops).
  • E. airTraffic
    Indicates the movement and flow of aircraft through airspace, including their routes, density, and interactions while in flight.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a933ddc5a881909cdf503f2bc29bd4 completed March 5, 2026, 7:42 a.m.
PD Predicate disambiguation batch_69a907ae8f688190ad9000ea1e018585 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.