Triple

T2925279
Position Surface form Disambiguated ID Type / Status
Subject Victoria Concordia Crescit E78827 entity
Predicate word2 P26490 FINISHED
Object Concordia E133565 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: Concordia | Statement: [Victoria Concordia Crescit, word2, Concordia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concordia
Context triple: [Victoria Concordia Crescit, word2, Concordia]
  • A. Concordia
    Concordia is a municipality in the Mexican state of Sinaloa, known for its colonial architecture and traditional crafts.
  • B. Concordia chosen
    Concordia is the original Latin title of the Book of Concord, the foundational collection of Lutheran confessional writings published in 1580.
  • C. Concordia
    Concordia is a residential neighborhood in Northeast Portland, Oregon, known for its tree-lined streets, diverse community, and proximity to local parks and schools.
  • D. Concordia
    Concordia is a significant city in the Mesopotamia region of northeastern Argentina, known for its agriculture, citrus production, and location along the Uruguay River.
  • E. Concordia
    Concordia is a famous high-altitude confluence of major glaciers in Pakistan’s Karakoram range, serving as a key trekking hub and gateway to K2 and other towering peaks.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c086888190ba51ce659a6c4f50 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0563a81788190b94fab34e41a76e7 completed March 10, 2026, 5:34 p.m.
Created at: March 8, 2026, 2:55 p.m.