Triple

T5423832
Position Surface form Disambiguated ID Type / Status
Subject Duchy of Albany E121314 entity
Predicate namedAfter P63 FINISHED
Object Albany E389052 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: Albany | Statement: [Duchy of Albany, namedAfter, Albany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albany
Context triple: [Duchy of Albany, namedAfter, Albany]
  • A. Albany
    Albany is the capital city of the U.S. state of New York, known as a historic political and cultural center in the northeastern United States.
  • B. Albany
    Albany is a coastal city in the Great Southern region of Western Australia, known for its natural harbors, historic whaling station, and role as a departure point for ANZAC troops in World War I.
  • C. Albany
    Albany is a city in southwestern Georgia that serves as a regional hub for commerce, transportation, and culture.
  • D. Albany chosen
    Albany is a historical title in Scotland traditionally associated with the royal dukedom and the region around Stirling.
  • E. Albany
    Albany is a suburb on Auckland’s North Shore in New Zealand, known for its rapid development, shopping centers, and proximity to major sports and educational facilities.
  • 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_69bd463b58d88190b258261573de9e91 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8812f84c819094d8516f69fff83d completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf858027b08190a6ea46493c6a87c6 completed March 22, 2026, 6 a.m.
Created at: March 20, 2026, 2:06 p.m.