Triple

T14842493
Position Surface form Disambiguated ID Type / Status
Subject Four Corners of Law E348996 entity
Predicate near P350 FINISHED
Object Rainbow Row E70193 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: Rainbow Row | Statement: [Four Corners of Law, near, Rainbow Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainbow Row
Context triple: [Four Corners of Law, near, Rainbow Row]
  • A. Rainbow Row chosen
    Rainbow Row is a famous series of brightly painted historic Georgian row houses in Charleston, South Carolina, and one of the city’s most photographed landmarks.
  • B. Conference Row
    Conference Row is the line of conference buildings within the Korean Demilitarized Zone’s Joint Security Area where officials from North and South Korea, and sometimes other parties, hold face-to-face negotiations and talks.
  • C. Blue Boar Row
    Blue Boar Row is a historic street in the center of Salisbury, England, known for its traditional buildings and proximity to the city’s main market area.
  • D. Convocation Mall
    Convocation Mall is a central open-air gathering and ceremonial space at Simon Fraser University's Burnaby campus, often used for convocations, events, and student activities.
  • E. Sea Towers
    Sea Towers is a prominent modern high-rise residential and office complex on the waterfront of Gdynia, Poland.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38ab372881909f60435e73424aea completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:53 a.m.