Triple

T4545957
Position Surface form Disambiguated ID Type / Status
Subject Army of the Andes E110047 entity
Predicate garrison P75 FINISHED
Object Mendoza E251243 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: Mendoza | Statement: [Army of the Andes, garrison, Mendoza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mendoza
Context triple: [Army of the Andes, garrison, Mendoza]
  • A. Mendoza chosen
    Mendoza is a major city in western Argentina known as a gateway to the Andes and the country’s premier wine-producing region.
  • B. Mendoza Province
    Mendoza Province is a region in western Argentina known for its Andean landscapes, including the towering Aconcagua peak, and its prominent wine-producing industry.
  • C. Santiago del Estero
    Santiago del Estero is a historic city in northern Argentina that serves as the capital of Santiago del Estero Province and is considered one of the country’s oldest continuously inhabited settlements.
  • D. Cafayate
    Cafayate is a renowned town in northwestern Argentina famous for its high-altitude vineyards, particularly Torrontés wine, and striking desert-and-mountain landscapes.
  • E. Río Cuarto
    Río Cuarto is a major city in central Argentina known as an important commercial, agricultural, and educational hub within Córdoba Province.
  • 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_69bd4412524c8190be5bcc9ddee91848 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57d761cc8190a7c8bdef6d130b5d completed March 20, 2026, 2:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc564452c819080beada43c9ba7b1 completed March 20, 2026, 10:08 p.m.
Created at: March 20, 2026, 1:05 p.m.