Triple

T2875277
Position Surface form Disambiguated ID Type / Status
Subject Shigar Valley E56862 entity
Predicate trekRoute P17835 FINISHED
Object Askole–Concordia E271537 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: Askole–Concordia | Statement: [Shigar Valley, trekRoute, Askole–Concordia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Askole–Concordia
Context triple: [Shigar Valley, trekRoute, Askole–Concordia]
  • A. Concordia
    Concordia is the original Latin title of the Book of Concord, the foundational collection of Lutheran confessional writings published in 1580.
  • B. Concordia
    Concordia is a municipality in the Mexican state of Sinaloa, known for its colonial architecture and traditional crafts.
  • 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 chosen
    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.
  • E. 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.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe004a64481908f1897d9054a7368 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db780908190919d859205464b2e completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.