Triple

T16287002
Position Surface form Disambiguated ID Type / Status
Subject OAK Airport station E395412 entity
Predicate servesCity P82 FINISHED
Object Oakland E5430 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: Oakland | Statement: [OAK Airport station, servesCity, Oakland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakland
Context triple: [OAK Airport station, servesCity, Oakland]
  • A. Oakland chosen
    Oakland is a major port city in the San Francisco Bay Area known for its cultural diversity, progressive politics, and significant role in West Coast shipping and industry.
  • B. Oakland
    Oakland is a small village in northwestern Rhode Island known for its historic mill-era architecture and rural residential character within the town of Burrillville.
  • C. Oakland
    Oakland is a major Pittsburgh neighborhood known as the city’s educational and cultural hub, home to institutions like the University of Pittsburgh and Carnegie Mellon University.
  • D. Oakland
    Oakland is a neighborhood on Chicago’s South Side known for its historic residential architecture and proximity to the lakefront.
  • E. Oakland
    Oakland is a small city in western Iowa, United States, known for its rural Midwestern character and local agricultural community.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24915a5948190a11b8e83b7974dda completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003550fc0c8190ba78666da8b3cd81 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:05 a.m.