Triple

T5927191
Position Surface form Disambiguated ID Type / Status
Subject Georgensgmünd E131841 entity
Predicate hasSubdivision P747 FINISHED
Object Ortsteil Georgensgmünd E131841 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: Ortsteil Georgensgmünd | Statement: [Georgensgmünd, hasSubdivision, Ortsteil Georgensgmünd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ortsteil Georgensgmünd
Context triple: [Georgensgmünd, hasSubdivision, Ortsteil Georgensgmünd]
  • A. Georgensgmünd chosen
    Georgensgmünd is a market town in the Roth district of Bavaria, Germany, known for its location at the confluence of the Rednitz and Schwäbische Rezat rivers.
  • B. St. Georgen im Schwarzwald
    St. Georgen im Schwarzwald is a small town in Germany’s Black Forest region known for its high-altitude setting and surrounding forested landscapes.
  • C. Genthin
    Genthin is a small town in the German state of Saxony-Anhalt, historically part of Prussia and known for its location along the Elbe–Havel Canal.
  • D. Gunzenhausen
    Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
  • E. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0385592b48190a885efb9549d88c7 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c05460c481908f3efde19e3ffa2a completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.