Triple

T4941550
Position Surface form Disambiguated ID Type / Status
Subject Cambrai E110945 entity
Predicate twinTown P1072 FINISHED
Object Schwäbisch Gmünd E213753 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: Schwäbisch Gmünd | Statement: [Cambrai, twinTown, Schwäbisch Gmünd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwäbisch Gmünd
Context triple: [Cambrai, twinTown, Schwäbisch Gmünd]
  • A. Schwäbisch Gmünd chosen
    Schwäbisch Gmünd is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and long tradition of metalworking and jewelry craftsmanship.
  • B. Albstadt
    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.
  • C. Reutlingen
    Reutlingen is a city in southwestern Germany known for its location at the foot of the Swabian Jura and its well-preserved medieval old town.
  • D. Pforzheim
    Pforzheim is a city in southwestern Germany, historically known for its jewelry and watchmaking industry and its heavy destruction during World War II.
  • E. 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.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708ba9888190baf4e79c8f159e9f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b069d3fc8190bac9d178a571b72d completed March 23, 2026, 3:15 a.m.
Created at: March 20, 2026, 1:31 p.m.