Triple

T7198596
Position Surface form Disambiguated ID Type / Status
Subject Celtiberia E168677 entity
Predicate majorSettlement P316 FINISHED
Object Segeda
Segeda was a prominent ancient Celtiberian city in what is now northeastern Spain, known for its role in the Celtiberian Wars against Rome.
 E648670 NE FINISHED

How this triple was built (4 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: Segeda | Statement: [Celtiberia, majorSettlement, Segeda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Segeda
Context triple: [Celtiberia, majorSettlement, Segeda]
  • A. Serrano
    Serrano are an Indigenous people of Southern California traditionally inhabiting the San Bernardino Mountains and surrounding desert regions.
  • B. Canillejas
    Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
  • C. Tarro
    Tarro is a suburban railway station in the Hunter Region of New South Wales, Australia, serving the local community on the Main Northern line.
  • D. Pimentón de la Vera
    Pimentón de la Vera is a smoked Spanish paprika with protected designation of origin, renowned for its intense flavor and deep red color.
  • E. Benincasa
    Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Segeda
Triple: [Celtiberia, majorSettlement, Segeda]
Generated description
Segeda was a prominent ancient Celtiberian city in what is now northeastern Spain, known for its role in the Celtiberian Wars against Rome.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Segeda
Target entity description: Segeda was a prominent ancient Celtiberian city in what is now northeastern Spain, known for its role in the Celtiberian Wars against Rome.
  • A. Serrano
    Serrano are an Indigenous people of Southern California traditionally inhabiting the San Bernardino Mountains and surrounding desert regions.
  • B. Canillejas
    Canillejas is a Madrid Metro station serving the Canillejas neighborhood in the San Blas-Canillejas district of Madrid, Spain.
  • C. Tarro
    Tarro is a suburban railway station in the Hunter Region of New South Wales, Australia, serving the local community on the Main Northern line.
  • D. Pimentón de la Vera
    Pimentón de la Vera is a smoked Spanish paprika with protected designation of origin, renowned for its intense flavor and deep red color.
  • E. Benincasa
    Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
  • F. None of above. chosen

Provenance (5 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_69c68a5376748190bb500f03df86e93e completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6e92b8bc08190bfcdd34ce42e3448 completed March 27, 2026, 8:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfac10c88190ad83da6a137abd27 completed March 28, 2026, 11:46 a.m.
NEDg Description generation batch_69c7c039bb708190b4ac14e19974774a completed March 28, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7c123c4b48190a76fb869f7abc553 completed March 28, 2026, 11:53 a.m.
Created at: March 27, 2026, 2:52 p.m.