Triple

T13011927
Position Surface form Disambiguated ID Type / Status
Subject Petorca River E322436 entity
Predicate nearbySettlement P350 FINISHED
Object La Ligua E198592 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: La Ligua | Statement: [Petorca River, nearbySettlement, La Ligua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Ligua
Context triple: [Petorca River, nearbySettlement, La Ligua]
  • A. La Ligua chosen
    La Ligua is a Chilean city known for its textile industry and traditional sweets, serving as an important commercial and cultural center in the Valparaíso Region.
  • B. Sacra Liga
    Sacra Liga is another name for the Holy League of 1684, a coalition of European powers formed to oppose the Ottoman Empire during the Great Turkish War.
  • C. La Liga
    La Liga is Spain’s top professional football division, renowned as one of the world’s strongest leagues and home to clubs like Real Madrid and FC Barcelona.
  • D. Liga Nacional
    Liga Nacional is the top professional football league in Guatemala, featuring the country’s premier clubs in its highest competitive division.
  • E. Primera División
    Primera División is the top professional football league in Argentina, featuring the country’s leading clubs in its highest competitive tier.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9e14b88190a2cee8e0c9bf31c8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c10d5b9881909db688c1ab0e6a77 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:49 p.m.