Triple

T4393648
Position Surface form Disambiguated ID Type / Status
Subject Little Village E99427 entity
Predicate hasAlternativeName P39 FINISHED
Object La Villita E92040 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 Villita | Statement: [Little Village, hasAlternativeName, La Villita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Villita
Context triple: [Little Village, hasAlternativeName, La Villita]
  • A. Villa de Leyva
    Villa de Leyva is a well-preserved colonial town in central Colombia renowned for its vast cobblestone plaza, whitewashed architecture, and historical charm.
  • B. La Villita Historic Arts Village chosen
    La Villita Historic Arts Village is a restored historic district in downtown San Antonio known for its art galleries, craft shops, and cultural events.
  • C. Ciudad Vieja
    Ciudad Vieja is the historic old town of Montevideo, Uruguay, known for its colonial architecture, cultural landmarks, and vibrant portside atmosphere.
  • D. Obarrio
    Obarrio is a prominent upscale neighborhood in Panama City known for its concentration of banks, corporate offices, and modern high-rise buildings.
  • E. El Carmen
    El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a8862481909dc67abf42be6928 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e53385508190ac1261c44672070b completed March 14, 2026, 10:46 p.m.
Created at: March 12, 2026, 11:19 p.m.