Triple

T15005166
Position Surface form Disambiguated ID Type / Status
Subject Taranganba E377689 entity
Predicate taranganbaStateSchool_levels P72238 FINISHED
Object Prep–Year 6 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: Prep–Year 6 | Statement: [Taranganba, taranganbaStateSchool_levels, Prep–Year 6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: taranganbaStateSchool_levels
Context triple: [Taranganba, taranganbaStateSchool_levels, Prep–Year 6]
  • A. schoolRoll
    Indicates the official list or record of students enrolled in a particular school or class.
  • B. countryEducationJurisdiction
    Indicates that a specified country has legal authority or responsibility over the governance and regulation of an education system or educational activities.
  • C. schoolClassification chosen
    Indicates how a school is categorized within an educational system, such as by level, type, or other official classification.
  • D. educationFacility
    Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
  • E. nationalSchool
    Indicates that a school is designated, administered, or officially recognized at the national (country-wide) level rather than local or regional.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7322b5c81909089cbbf816e1436 completed April 15, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69de9a6531a88190acde65199a477350 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:54 a.m.