Triple

T8017806
Position Surface form Disambiguated ID Type / Status
Subject Fils E186662 entity
Predicate mouthLocation P417 FINISHED
Object Plochingen E384947 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: Plochingen | Statement: [Fils, mouthLocation, Plochingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plochingen
Context triple: [Fils, mouthLocation, Plochingen]
  • A. Plochingen chosen
    Plochingen is a town in the German state of Baden-Württemberg, known for its location at the confluence of the Fils and Neckar rivers and its distinctive Hundertwasser-designed residential complex.
  • B. Donaueschingen
    Donaueschingen is a town in southwestern Germany, in the Black Forest region of Baden-Württemberg, known as one of the sources of the Danube River.
  • C. Lindau
    Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
  • D. Schelklingen
    Schelklingen is a small historic town in the Alb-Donau district of Baden-Württemberg in southern Germany, known for its picturesque setting near the Swabian Jura.
  • E. Biberach an der Riß
    Biberach an der Riß is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval old town and traditional Swabian culture.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df4f1b8819089a8b67f136bce9a completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c4937c8190999a156299299ab3 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:20 p.m.