Triple

T16241479
Position Surface form Disambiguated ID Type / Status
Subject XV Corps E394256 entity
Predicate alsoKnownAs P39 FINISHED
Object 15 Corps E394256 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: 15 Corps | Statement: [XV Corps, alsoKnownAs, 15 Corps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 15 Corps
Context triple: [XV Corps, alsoKnownAs, 15 Corps]
  • A. XII Corps
    XII Corps is a field formation of the Indian Army responsible for operations and defense in parts of western India, including sectors along the border with Pakistan.
  • B. XII Corps
    XII Corps is a major field formation of the Pakistan Army responsible for operations and defense primarily in the Balochistan region.
  • C. XII Corps
    XII Corps was a major French military formation of the Napoleonic Wars, composed largely of allied contingents and active in several key campaigns in Central Europe.
  • D. XV Corps
    XV Corps was a field corps of the Ottoman Army that served as a major combat formation during World War I.
  • E. XV Corps chosen
    XV Corps is a key field formation of the Indian Army responsible for military operations and security in the Kashmir region.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455e1ce08190b97e2ab3e8c6d535 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017afc578819086478bbdddc149df completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.