Triple

T14486415
Position Surface form Disambiguated ID Type / Status
Subject Batalion Zośka E359238 entity
Predicate typicalAgeOfMembers P78532 FINISHED
Object school-aged 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: school-aged | Statement: [Batalion Zośka, typicalAgeOfMembers, school-aged]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalAgeOfMembers
Context triple: [Batalion Zośka, typicalAgeOfMembers, school-aged]
  • A. typicalAge chosen
    Indicates the usual or characteristic age associated with an entity, event, or condition.
  • B. typicalEligibilityAge
    Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
  • C. typicalAgeRangeLower
    Indicates the minimum age value that typically marks the lower bound of an expected or common age range for something.
  • D. typicalMaximumAge
    Indicates the usual upper age limit that an entity is expected or allowed to reach under normal conditions.
  • E. ageRange
    Indicates the span of ages within which an entity or relationship is considered valid or applicable.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69de5c487b4c819097803e58dca628a5 completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:20 a.m.