Triple

T4797356
Position Surface form Disambiguated ID Type / Status
Subject Dulag E106742 entity
Predicate relatedTo P37 FINISHED
Object Stalag E7263 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: Stalag | Statement: [Dulag, relatedTo, Stalag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stalag
Context triple: [Dulag, relatedTo, Stalag]
  • A. Stalags chosen
    Stalags were German World War II prisoner-of-war camps, particularly notorious for their harsh conditions and high mortality among Soviet captives.
  • B. Stalag Luft XVII-B
    Stalag Luft XVII-B was a German World War II prisoner-of-war camp for Allied airmen, noted for its harsh conditions and later depiction in the film "Stalag 17."
  • C. Escape from Stalag Luft 112B
    Escape from Stalag Luft 112B is a comedic World War II prison-camp parody episode from the British television series Ripping Yarns, created by Michael Palin and Terry Jones.
  • D. Colditz
    Colditz is a small town in the Free State of Saxony in eastern Germany, best known for its historic hilltop castle that served as a high-security prisoner-of-war camp during World War II.
  • E. Stalag 17
    Stalag 17 is a 1953 World War II prisoner-of-war drama film noted for its blend of suspense, dark humor, and ensemble performances, particularly William Holden’s Oscar-winning role.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd660b05ec8190971f43350f02fed4 completed March 20, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43f8d9548190857910be4ffc2711 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:22 p.m.