Triple

T8480705
Position Surface form Disambiguated ID Type / Status
Subject Washington State Ferries E200508 entity
Predicate abbreviation P43 FINISHED
Object WSF E200508 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: WSF | Statement: [Washington State Ferries, abbreviation, WSF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSF
Context triple: [Washington State Ferries, abbreviation, WSF]
  • A. WSF
    WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
  • B. WSF chosen
    WSF is the commonly used abbreviation for Washington State Ferries, the largest ferry system in the United States serving routes across Puget Sound and nearby waterways.
  • C. WSF 2011
    WSF 2011 was an edition of the World Social Forum, a global gathering of social movements, NGOs, and activists focused on discussing and promoting alternatives to neoliberal globalization.
  • D. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • E. WBF
    WBF is the German abbreviation for Switzerland’s Federal Department of Economic Affairs, Education and Research, the federal ministry responsible for national economic policy, education, research, and innovation.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5245034819088c7c5c40170c020 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:12 p.m.