Triple

T13613208
Position Surface form Disambiguated ID Type / Status
Subject Schietpartij op de Dam E325246 entity
Predicate occurredIn P9323 FINISHED
Object Dam Square E10692 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: Dam Square | Statement: [Schietpartij op de Dam, occurredIn, Dam Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dam Square
Context triple: [Schietpartij op de Dam, occurredIn, Dam Square]
  • A. Dam Square chosen
    Dam Square is the historic central square of Amsterdam, known as a major public gathering place surrounded by notable buildings such as the Royal Palace and the National Monument.
  • B. Dock Square
    Dock Square is the central, historic shopping and dining district of Kennebunkport, Maine, known for its waterfront charm and tourist-friendly boutiques, galleries, and restaurants.
  • C. Maritime Square
    Maritime Square is a major shopping mall and transport hub located on Tsing Yi Island in Hong Kong.
  • D. Casino Square
    Casino Square is a famous, high-profile section of the Monte Carlo street circuit, known for its glamorous setting amid luxury casinos and hotels during the Monaco Grand Prix.
  • E. Telfair Square
    Telfair Square is one of Savannah, Georgia’s historic public squares, known for its landscaped green space and proximity to notable cultural institutions.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0abe1208190a1e0a32dc141d836 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6fb2b708190ae6e36bfb93f8bdd completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:50 p.m.