Triple

T8109231
Position Surface form Disambiguated ID Type / Status
Subject Round Elementary School E189304 entity
Predicate regionServed P82 FINISHED
Object Manassas City E720228 NE 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: Manassas City | Statement: [Round Elementary School, regionServed, Manassas City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manassas City
Context triple: [Round Elementary School, regionServed, Manassas City]
  • A. Manassas City chosen
    Manassas City is an independent city in northern Virginia known for its historic Civil War battlefields and suburban residential communities.
  • B. Fredericksburg
    Fredericksburg is a historic independent city in Virginia known for its significant Civil War battlefields and well-preserved colonial-era downtown.
  • C. Fredericksburg
    Fredericksburg is a historic central Texas town known for its German heritage, wineries, and role as a gateway to the scenic Hill Country region.
  • D. Urbanna, Virginia
    Urbanna, Virginia is a small historic town in Middlesex County known for its colonial-era port on the Rappahannock River and annual oyster festival.
  • E. Spotswood
    Spotswood is a small borough in central New Jersey known for its suburban residential character and local community atmosphere.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1c8a492c8190bb17895127bb6a82 completed April 2, 2026, 7:36 a.m.
Created at: March 30, 2026, 5:32 p.m.