Triple

T11801340
Position Surface form Disambiguated ID Type / Status
Subject Ebingen E280632 entity
Predicate namedAs P39771 FINISHED
Object Albstadt-Ebingen E285322 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: Albstadt-Ebingen | Statement: [Ebingen, namedAs, Albstadt-Ebingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albstadt-Ebingen
Context triple: [Ebingen, namedAs, Albstadt-Ebingen]
  • A. Albstadt chosen
    Albstadt is a town in the Swabian Jura region of Baden-Württemberg, Germany, known for its textile industry, scenic hiking and cycling routes, and role as a regional economic center.
  • B. Bietigheim-Bissingen
    Bietigheim-Bissingen is a town in the German state of Baden-Württemberg known for its historic old town, wine-growing tradition, and location near Stuttgart.
  • C. Esslingen am Neckar
    Esslingen am Neckar is a historic German town near Stuttgart, renowned for its well-preserved medieval old town, half-timbered houses, and hillside vineyards along the Neckar River.
  • D. Waiblingen
    Waiblingen is a town in the German state of Baden-Württemberg, located near Stuttgart and known as an important regional center in the Rems-Murr district.
  • E. Sindelfingen
    Sindelfingen is a city in the German state of Baden-Württemberg known for its major Mercedes-Benz automobile production plant and close ties to the Stuttgart metropolitan area.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a4512c8190b7782e1dee053000 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f8a57ec8190aded70ae89aa8cf7 completed May 1, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:42 p.m.