Triple

T16199834
Position Surface form Disambiguated ID Type / Status
Subject Senate Square E393167 entity
Predicate hasPart P35 FINISHED
Object Government Palace E558012 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: Government Palace | Statement: [Senate Square, hasPart, Government Palace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Government Palace
Context triple: [Senate Square, hasPart, Government Palace]
  • A. Government Palace chosen
    Government Palace is the central government building in Ulaanbaatar, Mongolia, housing key state institutions and overlooking the city’s main public square.
  • B. Government Palace
    Government Palace is a prominent neoclassical administrative building in central Helsinki that houses key offices of the Finnish government.
  • C. Presidential Palace
    The Presidential Palace in Nanjing is a historic government complex that served as the headquarters of several Chinese regimes, most notably the Republic of China before 1949.
  • D. Presidential Palace
    The Presidential Palace is the official residence and workplace of a nation's president, typically serving as a central symbol of executive authority and state power.
  • E. Legislative Palace
    The Legislative Palace is the principal government building that houses the sessions and offices of the national legislature.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222de2db481908471b9c73d444607 completed April 17, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff1107908190afda091b53317d81 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:03 a.m.