Triple

T20102826
Position Surface form Disambiguated ID Type / Status
Subject Schwerte E496588 entity
Predicate hasSubdivision P747 FINISHED
Object Ergste
Ergste is a district of the town of Schwerte in North Rhine-Westphalia, Germany, known as a residential area on the outskirts of the Ruhr region.
E1412128 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: Ergste | Statement: [Schwerte, hasSubdivision, Ergste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ergste
Context triple: [Schwerte, hasSubdivision, Ergste]
  • A. Ergisch
    Ergisch is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
  • B. Erista
    Erista is the internal codename for Nvidia’s original Tegra X1 system-on-chip, notably used in the first-generation Nintendo Switch.
  • C. Erigavo
    Erigavo is a major town and administrative center in the Sanaag region of northern Somalia, claimed by the self-declared Republic of Somaliland.
  • D. Ering
    Ering is a small municipality in Bavaria, Germany, located near the town of Simbach am Inn along the Austrian border.
  • 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: Ergste
Triple: [Schwerte, hasSubdivision, Ergste]
Generated description
Ergste is a district of the town of Schwerte in North Rhine-Westphalia, Germany, known as a residential area on the outskirts of the Ruhr region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ergste
Target entity description: Ergste is a district of the town of Schwerte in North Rhine-Westphalia, Germany, known as a residential area on the outskirts of the Ruhr region.
  • A. Ergisch
    Ergisch is a small Swiss mountain municipality in the canton of Valais, known for its alpine scenery and traditional rural character.
  • B. Erista
    Erista is the internal codename for Nvidia’s original Tegra X1 system-on-chip, notably used in the first-generation Nintendo Switch.
  • C. Erigavo
    Erigavo is a major town and administrative center in the Sanaag region of northern Somalia, claimed by the self-declared Republic of Somaliland.
  • D. Ering
    Ering is a small municipality in Bavaria, Germany, located near the town of Simbach am Inn along the Austrian border.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6667170a4819085d07a4188ded541 completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082712b04c81908e0413dee9a04ea6 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a082864abdc819080a9822114eb8c25 completed May 16, 2026, 8:18 a.m.
NED2 Entity disambiguation (via description) batch_6a082946da0c81909db45f0989020a17 completed May 16, 2026, 8:22 a.m.
Created at: April 11, 2026, 11:27 p.m.