Triple

T12650581
Position Surface form Disambiguated ID Type / Status
Subject Herborn E302146 entity
Predicate locatedInRegion P40 FINISHED
Object Mittelhessen E109575 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: Mittelhessen | Statement: [Herborn, locatedInRegion, Mittelhessen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mittelhessen
Context triple: [Herborn, locatedInRegion, Mittelhessen]
  • A. Middle Hesse chosen
    Middle Hesse is a central region of the German state of Hesse known for its mix of historic university towns, industrial centers, and rural landscapes.
  • B. Upper Hesse
    Upper Hesse was a historical region in central Germany that formed the northern, upland part of the Landgraviate of Hesse-Darmstadt.
  • C. Greater Hesse
    Greater Hesse was a post–World War II administrative region in western Germany established by the U.S. occupation authorities, which later formed the core of the modern state of Hesse.
  • D. South Hesse
    South Hesse is a region in the southern part of the German state of Hesse that includes major urban and economic centers such as Darmstadt and the Rhine-Main area.
  • E. Wetterau region
    The Wetterau region is a fertile, historically significant area in central Hesse, Germany, known for its agriculture and dense concentration of medieval towns and castles.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615f28cc81908e37249d7ab5ed74 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719c18508190a9c28b2526e6b336 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:18 p.m.