Triple

T3318330
Position Surface form Disambiguated ID Type / Status
Subject European Theater of Operations, United States Army E69733 entity
Predicate alsoKnownAs P39 FINISHED
Object ETOUSA E1493 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: ETOUSA | Statement: [European Theater of Operations, United States Army, alsoKnownAs, ETOUSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ETOUSA
Context triple: [European Theater of Operations, United States Army, alsoKnownAs, ETOUSA]
  • A. ETO chosen
    ETO refers to the European Theater of Operations, the major area of military conflict in Europe during World War II involving the Allied and Axis powers.
  • B. ETO
    ETO is the stock ticker symbol for Entertainment One, a media and entertainment company known for producing and distributing film, television, and family programming.
  • C. Uspantek
    Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
  • D. EOU
    EOU is a public university located in La Grande, Oregon, known for serving rural and Eastern Oregon communities with a range of undergraduate and graduate programs.
  • E. OMGUS
    OMGUS was the U.S. military government authority that administered occupied Germany after World War II, overseeing denazification, democratization, and reconstruction.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb113cb6c8190989b06476f6015fd completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3fd5440819092f6847e56c05ff8 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.