Triple

T2210802
Position Surface form Disambiguated ID Type / Status
Subject Hans Heinrich Lammers E50912 entity
Predicate memberOf P10 FINISHED
Object SS E1506 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: SS | Statement: [Hans Heinrich Lammers, memberOf, SS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SS
Context triple: [Hans Heinrich Lammers, memberOf, SS]
  • A. SS
    SS is the IATA airline designator used to identify Corsair International flights in global aviation systems.
  • B. SS chosen
    The SS was a paramilitary organization of Nazi Germany that became one of the principal instruments of terror, repression, and mass murder, including the systematic genocide of Jews and other targeted groups during World War II.
  • C. SS
    The SS is a high-performance "Super Sport" trim level of the Chevrolet Camaro, featuring more powerful engines and sport-tuned components compared to standard models.
  • D. .ss
    .ss is the country code top-level domain (ccTLD) assigned to South Sudan for use in its internet addresses.
  • E. S
    S is the New York City Subway service designation used for the 42nd Street Shuttle, a short line connecting Times Square and Grand Central in Manhattan.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfeb889081908cddf58a57b216df completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655045d081909b8294ec706e0814 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.