Triple

T20471494
Position Surface form Disambiguated ID Type / Status
Subject Palmiry E502201 entity
Predicate hasOfficialName P66 FINISHED
Object Palmiry NE NERFINISHED

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: Palmiry | Statement: [Palmiry, hasOfficialName, Palmiry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmiry
Context triple: [Palmiry, hasOfficialName, Palmiry]
  • A. Palmiry chosen
    Palmiry is a village in central Poland known as a site of mass executions carried out by Nazi Germany during World War II.
  • B. Pontorson
    Pontorson is a small town in northwestern France that serves as a common gateway and service hub for visitors traveling to the nearby island commune of Mont-Saint-Michel.
  • C. Palmiry forest
    Palmiry forest is a wooded area near Warsaw, Poland, known as a major World War II execution site where German forces carried out mass shootings of Polish civilians and intelligentsia.
  • D. Baerenthal
    Baerenthal is a small village in northeastern France’s Moselle department, known for its forested landscapes and location within the Pays de Bitche region.
  • E. Pamiers
    Pamiers is a historic commune in southwestern France, known as the largest town in the Ariège department and noted for its medieval architecture and role as a local economic center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996197908190b6570e2a7fd6cf67 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.