Triple

T16418273
Position Surface form Disambiguated ID Type / Status
Subject Albany City Clerk’s Office E398743 entity
Predicate locatedIn P40 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: [Albany City Clerk’s Office, locatedIn, Albany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albany
Context triple: [Albany City Clerk’s Office, locatedIn, 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 suburb on Auckland’s North Shore in New Zealand, known for its rapid development, shopping centers, and proximity to major sports and educational facilities.
  • E. Albany
    Albany is a small village located in Athens County in southeastern Ohio, United States.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328798a488190a5fad01c3c95584c completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3f93348190b835218ae42f3463 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:09 a.m.