Triple

T20156131
Position Surface form Disambiguated ID Type / Status
Subject Samseong-dong E491570 entity
Predicate hasLandmark P105 FINISHED
Object Trade Tower NE NERFINISHED

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: Trade Tower | Statement: [Samseong-dong, hasLandmark, Trade Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trade Tower
Context triple: [Samseong-dong, hasLandmark, Trade Tower]
  • A. Trade Tower chosen
    Trade Tower is a prominent commercial skyscraper located in the Diamond Exchange District, known for housing offices and businesses linked to the local diamond and trade industries.
  • B. Square Tower
    Square Tower is a historic white fort-like structure along the Kuching Waterfront in Sarawak, Malaysia, originally built for defense and later used as a prison and government facility.
  • C. Wood Tower
    Wood Tower is a historic medieval watchtower and former city gate located in the German city of Mainz along the Rhine River.
  • D. Price Tower
    Price Tower is a distinctive 19-story modernist skyscraper in Bartlesville, Oklahoma, celebrated as one of Frank Lloyd Wright’s few built high-rise designs.
  • E. City Tower
    City Tower is a prominent residential skyscraper in Downtown Brooklyn known for its modern high-rise apartments and amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e0a0488190a25d92aaf300be4a completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.