Triple

T4587899
Position Surface form Disambiguated ID Type / Status
Subject Empire State Trail E103412 entity
Predicate connects P390 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: [Empire State Trail, connects, Albany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albany
Context triple: [Empire State Trail, connects, 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. Utica
    Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd591fc20481908d8d4b71d055ae8c completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa33103081909e83155f712b821f completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:11 p.m.