Triple

T1496512
Position Surface form Disambiguated ID Type / Status
Subject Mountain View E29698 entity
Predicate hasLandmark P105 FINISHED
Object Downtown Mountain View E133740 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: Downtown Mountain View | Statement: [Mountain View, hasLandmark, Downtown Mountain View]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downtown Mountain View
Context triple: [Mountain View, hasLandmark, Downtown Mountain View]
  • A. Downtown Palo Alto
    Downtown Palo Alto is a vibrant commercial and cultural district in Palo Alto, California, known for its upscale shops, restaurants, and proximity to Stanford University.
  • B. 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.
  • C. Castro Street, Mountain View chosen
    Castro Street in Mountain View is the city’s main downtown thoroughfare, known for its restaurants, shops, and vibrant pedestrian-friendly atmosphere.
  • D. Mountain View
    Mountain View is a Silicon Valley city in Northern California best known as a major technology hub and the home of companies like Google.
  • E. Alamo Square
    Alamo Square is a San Francisco neighborhood and park best known for its iconic Victorian houses and panoramic views of the city skyline.
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6edca248190a90205799b270058 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1caf8b288190b428cf903db2c107 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:12 p.m.