Triple

T757330
Position Surface form Disambiguated ID Type / Status
Subject Erla Maschinenwerk E15584 entity
Predicate typeOfLicense P19269 FINISHED
Object aircraft production license 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: aircraft production license | Statement: [Erla Maschinenwerk, typeOfLicense, aircraft production license]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfLicense
Context triple: [Erla Maschinenwerk, typeOfLicense, aircraft production license]
  • A. hasLicense
    Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
  • B. cityOfLicense
    Indicates the city in which an entity (typically a broadcast station or similar regulated service) is officially licensed or authorized to operate.
  • C. licenseFamily
    Indicates that one license belongs to, is derived from, or is categorized under a broader family or class of related licenses.
  • D. licenseFor
    Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
  • E. typeOfRight
    Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66ab4608190afcd81e6606c5116 completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a50348088190873a1446db657a78 completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a62b497081909503c8d30c7ce1db completed March 1, 2026, 8:48 p.m.
Created at: March 1, 2026, 7:37 p.m.