Triple

T10418119
Position Surface form Disambiguated ID Type / Status
Subject Isabel Archer E245572 entity
Predicate residesIn P75 FINISHED
Object Albany unclear NED1 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: [Isabel Archer, residesIn, Albany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albany
Context triple: [Isabel Archer, residesIn, 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
    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. chosen

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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2938188190a908316d0a0959be completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9b86648190b83eb5261c9a7b97 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:11 p.m.