Triple

T15843544
Position Surface form Disambiguated ID Type / Status
Subject Merklingen E384156 entity
Predicate hasParentMunicipalityDistrict P115673 FINISHED
Object Böblingen E389273 NE FINISHED

How this triple was built (3 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: Böblingen | Statement: [Merklingen, hasParentMunicipalityDistrict, Böblingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Böblingen
Context triple: [Merklingen, hasParentMunicipalityDistrict, Böblingen]
  • A. Böblingen chosen
    Böblingen is a town in the German state of Baden-Württemberg, near Stuttgart, known for its automotive and technology industries and its role as a regional economic center.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Baiersbronn
    Baiersbronn is a municipality in Germany’s Black Forest renowned for its scenic landscapes and high concentration of Michelin-starred restaurants.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasParentMunicipalityDistrict
Context triple: [Merklingen, hasParentMunicipalityDistrict, Böblingen]
  • A. hasMunicipalDistrict
    Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
  • B. containsDistrictMunicipality
    Indicates that an administrative region includes one or more district municipalities within its boundaries.
  • C. hasMunicipalPart
    Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
  • D. isInnerDistrictOf chosen
    Indicates that one district is geographically or administratively located within and subordinate to another, larger district.
  • E. hasMunicipalDistrictNumber
    Indicates that a municipality or local administrative unit is assigned a specific district number within its municipal structure.
  • F. None of above.

Provenance (4 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142ea3da08190a9d2d5917f84907c completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbbff15c81909cb148a33b51a16e completed May 10, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69e005434ed88190baf11c169da3cf29 completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.