Triple

T8301023
Position Surface form Disambiguated ID Type / Status
Subject San Francisco E194348 entity
Predicate postalAbbreviation P43 FINISHED
Object SF E1413 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: SF | Statement: [San Francisco, postalAbbreviation, SF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SF
Context triple: [San Francisco, postalAbbreviation, SF]
  • A. SF chosen
    SF is the standard two-letter postal abbreviation used to represent the city of San Francisco, California.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • D. SV
    SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
  • E. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e879c588190a6f95cf7795541ad completed March 31, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68bcb43081909e3a8a00947d03f2 completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:53 p.m.