Triple

T13141054
Position Surface form Disambiguated ID Type / Status
Subject Hedwig Village, Texas E312209 entity
Predicate hasLocalGovernment P2820 FINISHED
Object City of Hedwig Village E889494 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: City of Hedwig Village | Statement: [Hedwig Village, Texas, hasLocalGovernment, City of Hedwig Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Hedwig Village
Context triple: [Hedwig Village, Texas, hasLocalGovernment, City of Hedwig Village]
  • A. Hedwig Village chosen
    Hedwig Village is a small, affluent residential city located in the western part of the Houston metropolitan area in Texas.
  • B. Town of Hague
    The Town of Hague is a small Adirondack community on the shores of Lake George in upstate New York, known for its scenic natural beauty and outdoor recreation.
  • C. City of Wood Village
    The City of Wood Village is a small incorporated municipality in Multnomah County, Oregon, that forms part of the Portland metropolitan area.
  • D. Swedish Village
    Swedish Village is the nickname of Kingsburg, a California city known for its strong Swedish heritage and themed architecture.
  • E. Eagle Village
    Eagle Village is a mixed-use residential and retail complex that serves as an extension of the University of Mary Washington’s campus.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b84f1081908b9e2d54a64d4c2d completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae2c3848190b062fa8da7dc8a92 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:10 p.m.