Triple

T599509
Position Surface form Disambiguated ID Type / Status
Subject Marine Corps Base Quantico E11461 entity
Predicate namedAfter P63 FINISHED
Object Quantico Creek E188867 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: Quantico Creek | Statement: [Marine Corps Base Quantico, namedAfter, Quantico Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quantico Creek
Context triple: [Marine Corps Base Quantico, namedAfter, Quantico Creek]
  • A. Quantico Creek chosen
    Quantico Creek is a small tidal waterway in northern Virginia that flows into the Potomac River near the town of Quantico and the Marine Corps Base Quantico.
  • B. Hannibal Creek
    Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
  • C. Sandburg Creek
    Sandburg Creek is a small stream in New York’s Hudson Valley that feeds into the larger Rondout Creek within the Catskill region.
  • D. Carroll Creek
    Carroll Creek is a small waterway in Frederick, Maryland, known for the Carroll Creek Linear Park and its role in the city's flood control and downtown revitalization.
  • E. Tulpehocken Creek
    Tulpehocken Creek is a significant waterway in southeastern Pennsylvania known for its historical role in transportation and its popular trout fishing and recreational opportunities.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d78c0f08190b83ad89062ccb0b9 completed March 1, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad7957d7048190b7fe9a79543931b2 completed March 8, 2026, 1:27 p.m.
Created at: March 1, 2026, 7:35 p.m.