Triple

T38630270
Position Surface form Disambiguated ID Type / Status
Subject Anchorage School District E937431 entity
Predicate largestSchoolDistrictIn P83153 FINISHED
Object Alaska NE NERFINISHED

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: Alaska | Statement: [Anchorage School District, largestSchoolDistrictIn, Alaska]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestSchoolDistrictIn
Context triple: [Anchorage School District, largestSchoolDistrictIn, Alaska]
  • A. schoolDistrict
    Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
  • B. schoolDistrictHeadquartersLocatedIn
    Indicates that the administrative headquarters of a school district is located within a specified geographic place.
  • C. largestBoroughByAreaOf
    Indicates that one entity is the borough with the greatest land area within the jurisdiction or region specified by the other entity.
  • D. isLargestDistrictOf chosen
    Indicates that a district is the largest (typically by area or population) among all districts within a specified region or administrative unit.
  • E. largestBoroughBy
    Indicates that one borough is the largest among a set of boroughs according to a specified criterion (such as area or population).
  • 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_69f76ed5ca3c81909288f61fbf37b359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fce7671f108190bf3ebf54339068b5 completed May 7, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69fce5b5a84c81908ac1b5b9f08d48d0 completed May 7, 2026, 7:19 p.m.
Created at: May 3, 2026, 4:32 p.m.