Triple

T13587002
Position Surface form Disambiguated ID Type / Status
Subject Lauder E324591 entity
Predicate hasNearbyValley P350 FINISHED
Object Lauderdale E1048327 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: Lauderdale | Statement: [Lauder, hasNearbyValley, Lauderdale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauderdale
Context triple: [Lauder, hasNearbyValley, Lauderdale]
  • A. Lauderdale chosen
    Lauderdale is a historic district in the Scottish Borders, traditionally associated with the town of Lauder as its county town.
  • B. Dade
    Dade is a surname most notably associated with U.S. Army Major Francis L. Dade, who was killed in the Second Seminole War and for whom several places in the United States were named.
  • C. Dade
    Dade was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty in China.
  • D. Davie
    Davie is a diminutive or affectionate form of the given name David, commonly used in English-speaking contexts.
  • E. North Lauderdale, Florida
    North Lauderdale, Florida is a suburban city in Broward County known for its residential neighborhoods and proximity to Fort Lauderdale.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb054c6008190839384ce26e8f71a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8deae88190b932a57789c70e77 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.