Triple

T9748689
Position Surface form Disambiguated ID Type / Status
Subject Bull Street E236380 entity
Predicate passesThrough P225 FINISHED
Object Wright Square E621455 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: Wright Square | Statement: [Bull Street, passesThrough, Wright Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wright Square
Context triple: [Bull Street, passesThrough, Wright Square]
  • A. Wright Square
    Wright Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • B. Wright Square chosen
    Wright Square is one of Savannah, Georgia’s original and most historic public squares, known for its central location, monuments, and surrounding 18th- and 19th-century architecture.
  • C. Havelock Square
    Havelock Square is an area in Singapore known for housing key legal institutions, including the Family Justice Courts.
  • D. United Nations Square
    United Nations Square is a central public plaza and major transportation hub in Casablanca, Morocco, known for its modern architecture, commercial activity, and role as a focal point of city life.
  • E. Crown Square
    Crown Square is the main courtyard and ceremonial heart of Edinburgh Castle, surrounded by some of its most important historic buildings.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b01678f88190900a941b9d111c58 completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:23 p.m.