Triple

T19313881
Position Surface form Disambiguated ID Type / Status
Subject Angria E483042 entity
Predicate hasNameInGerman P22792 FINISHED
Object Engern
Engern is the German name for Angria, a historical region in what is now northwestern Germany.
E1369783 NE FINISHED

How this triple was built (4 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: Engern | Statement: [Angria, hasNameInGerman, Engern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Engern
Context triple: [Angria, hasNameInGerman, Engern]
  • A. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • B. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • C. Eggerberg
    Eggerberg is a small Swiss municipality in the canton of Valais, known for its hillside location above the Rhône valley and views of the surrounding Alps.
  • D. Enniger
    Enniger is a village and district within the town of Ennigerloh in North Rhine-Westphalia, Germany.
  • E. Ehrsten
    Ehrsten is a village-level subdivision within the town of Zierenberg in the German state of Hesse.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Engern
Triple: [Angria, hasNameInGerman, Engern]
Generated description
Engern is the German name for Angria, a historical region in what is now northwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Engern
Target entity description: Engern is the German name for Angria, a historical region in what is now northwestern Germany.
  • A. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • B. Engen
    Engen is a surname of Norwegian origin borne by various notable individuals across fields such as aviation, sports, and public service.
  • C. Eggerberg
    Eggerberg is a small Swiss municipality in the canton of Valais, known for its hillside location above the Rhône valley and views of the surrounding Alps.
  • D. Enniger
    Enniger is a village and district within the town of Ennigerloh in North Rhine-Westphalia, Germany.
  • E. Ehrsten
    Ehrsten is a village-level subdivision within the town of Zierenberg in the German state of Hesse.
  • F. None of above. chosen

Provenance (5 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cfec8c8190a118b327b1418150 completed April 20, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071461923081909deb4c114cab2560 completed May 15, 2026, 12:41 p.m.
NEDg Description generation batch_6a0714eb6a0c8190bec7ae8ef785a4ab completed May 15, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0718ee8adc8190a74685f9783ba5d5 completed May 15, 2026, 1 p.m.
Created at: April 10, 2026, 1:32 p.m.