Triple

T5700661
Position Surface form Disambiguated ID Type / Status
Subject Annapolis Historic District E125650 entity
Predicate near P350 FINISHED
Object Spa Creek E727158 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: Spa Creek | Statement: [Annapolis Historic District, near, Spa Creek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spa Creek
Context triple: [Annapolis Historic District, near, Spa Creek]
  • A. Spa Creek chosen
    Spa Creek is a tidal inlet and waterway in Annapolis, Maryland, known for its marinas, boating activity, and proximity to the historic downtown and U.S. Naval Academy.
  • B. Spruce Creek
    Spruce Creek is a small tidal waterway in southern Maine that flows through the town of Kittery before emptying into the Piscataqua River.
  • C. Hunting Creek
    Hunting Creek is a smaller stream in North Carolina that feeds into the Yadkin River as one of its tributaries.
  • D. Richland Creek
    Richland Creek is a waterway in southern Tennessee that flows through the city of Pulaski and the surrounding Giles County region.
  • E. Swamp Creek
    Swamp Creek is a smaller stream in Pennsylvania that feeds into Perkiomen Creek as part of the Schuylkill River watershed.
  • 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_69c0082c96988190b3a6a201edce472a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024540afc8190aee3760f71ea39c2 completed March 22, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cffd37b54881908c67d5746f9ef39e completed April 3, 2026, 5:47 p.m.
Created at: March 22, 2026, 3:45 p.m.