Triple

T17145653
Position Surface form Disambiguated ID Type / Status
Subject Social Security Study Commission E416083 entity
Predicate successor P78 FINISHED
Object SSS E57331 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: SSS | Statement: [Social Security Study Commission, successor, SSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SSS
Context triple: [Social Security Study Commission, successor, SSS]
  • A. SSS chosen
    SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
  • B. HSSS
    HSSS is the ICAO airport code for Khartoum International Airport, the main international gateway to Sudan’s capital city.
  • C. SS
    SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
  • D. SS
    SS is a German multinational conglomerate known for its diverse portfolio of industrial, engineering, and technology-related businesses.
  • E. SS
    SS (Sareen Sports) is a well-known Indian cricket equipment manufacturer recognized for its bats and other professional-grade gear used by many international players.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2da515481909d19e421382eb755 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483158348190abb96b36caaf455a completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.