Triple

T3644105
Position Surface form Disambiguated ID Type / Status
Subject Weil der Stadt E77255 entity
Predicate twinnedWith P1072 FINISHED
Object Braunfels E239890 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: Braunfels | Statement: [Weil der Stadt, twinnedWith, Braunfels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braunfels
Context triple: [Weil der Stadt, twinnedWith, Braunfels]
  • A. Braunfels chosen
    Braunfels is a historic spa and castle town in the German state of Hesse, known for its well-preserved medieval old town and hilltop Braunfels Castle.
  • B. New Braunfels
    New Braunfels is a historic central Texas city known for its German heritage, river recreation on the Comal and Guadalupe, and location between Austin and San Antonio.
  • C. Corsicana
    Corsicana is a small city in north-central Texas known for its oil boom history and as a regional commercial and transportation hub between Dallas and Houston.
  • D. Balch Springs
    Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
  • E. Santa Fe, Texas
    Santa Fe, Texas is a small city in Galveston County known for its rural character and location within the Greater Houston metropolitan area.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35c28908190b253f4835918a2b4 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cde0425081909ca15dba0bcc3fc4 completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:24 p.m.