Triple

T9006995
Position Surface form Disambiguated ID Type / Status
Subject New Braunfels E215168 entity
Predicate namedAfter P63 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: [New Braunfels, namedAfter, Braunfels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Braunfels
Context triple: [New Braunfels, namedAfter, 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. Ciudad Bandera
    Ciudad Bandera is the nickname of Cárdenas, a Cuban city known for its historical role in early Cuban independence symbolism and patriotic movements.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bdc5fc819081015f4adacf9fd4 completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0e7f090819093c7af51c3979978 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:05 p.m.