Triple

T8788050
Position Surface form Disambiguated ID Type / Status
Subject Forggensee E209090 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Halblech E752210 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: Halblech | Statement: [Forggensee, nearbyMunicipality, Halblech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halblech
Context triple: [Forggensee, nearbyMunicipality, Halblech]
  • A. Halblech chosen
    Halblech is a river in Bavaria, Germany, known as a tributary of the Ammer.
  • B. Halba
    Halba are an indigenous Adivasi community of central India, particularly associated with the Bastar region, known for their distinct language, cultural traditions, and agrarian lifestyle.
  • C. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • D. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • E. Ramsloh
    Ramsloh is a village in the municipality of Saterland in Lower Saxony, Germany, known as one of the centers of the Saterland Frisian language community.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f89a84c819085d4cfe4e6dfbda8 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf520678f48190a0af3df75df9b269 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:43 p.m.