Triple

T6918236
Position Surface form Disambiguated ID Type / Status
Subject Hudson River watershed E160116 entity
Predicate containsCity P294 FINISHED
Object Albany E5470 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: [Hudson River watershed, containsCity, Albany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albany
Context triple: [Hudson River watershed, containsCity, Albany]
  • A. Albany chosen
    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
    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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c73b2d88190b902b91889eebecd completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 2:26 p.m.