Triple

T4928279
Position Surface form Disambiguated ID Type / Status
Subject Memel offensive E110629 entity
Predicate location P40 FINISHED
Object Memel E117663 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: Memel | Statement: [Memel offensive, location, Memel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memel
Context triple: [Memel offensive, location, Memel]
  • A. Memel chosen
    Memel is the former German name for the Baltic port city now known as Klaipėda in Lithuania.
  • B. Mēmele
    Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe River.
  • C. Pepe
    Pepe is a Brazilian-born Portuguese central defender renowned for his aggressive, physical style of play and long, trophy-laden career with clubs like Real Madrid and the Portugal national team.
  • D. Memel offensive
    The Memel offensive was a major Soviet military campaign in late 1944 aimed at cutting off German Army Group North by advancing through the Baltic region to the city of Memel (now Klaipėda, Lithuania) during World War II.
  • E. Baflo
    Baflo is a village in the Dutch province of Groningen, known for its historic church and rural character.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7036d8e88190bc4be2975160da23 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77ac88148190a51fa2e9085d6897 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.