Triple

T7254736
Position Surface form Disambiguated ID Type / Status
Subject Pavas E157689 entity
Predicate hasTypeOfSettlement P1068 FINISHED
Object district of San José E634863 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: district of San José | Statement: [Pavas, hasTypeOfSettlement, district of San José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: district of San José
Context triple: [Pavas, hasTypeOfSettlement, district of San José]
  • A. Downtown San Jose
    Downtown San Jose is the central urban core of San Jose, California, known for its tech offices, cultural venues, restaurants, and proximity to major transit hubs.
  • B. San Jose, California, United States
    San Jose is a major city in California’s Silicon Valley, known as a global center for technology and innovation.
  • C. Alviso area of San Jose
    The Alviso area of San Jose is a historic, low-lying waterfront district at the southern end of San Francisco Bay known for its wetlands, salt ponds, and vulnerability to flooding.
  • D. Municipality of San José chosen
    The Municipality of San José is the local government jurisdiction that administers Costa Rica’s capital city and its surrounding urban districts.
  • E. San Jose City
    San Jose City is a landlocked component city in the province of Nueva Ecija in the Philippines, known as an agricultural and commercial hub in Central Luzon.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea9f55b4819081a43e7a01eda154 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b053248190802b11212a8a668f completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:56 p.m.