Triple

T10139636
Position Surface form Disambiguated ID Type / Status
Subject Wilmer Cutler Pickering Hale and Dorr E226947 entity
Predicate hasOfficeIn P1268 FINISHED
Object Palo Alto E22022 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: Palo Alto | Statement: [Wilmer Cutler Pickering Hale and Dorr, hasOfficeIn, Palo Alto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palo Alto
Context triple: [Wilmer Cutler Pickering Hale and Dorr, hasOfficeIn, Palo Alto]
  • A. Palo Alto, California chosen
    Palo Alto, California is a major Silicon Valley city known for its role as a global technology and innovation hub and as the home of Stanford University.
  • B. El Palo Alto
    El Palo Alto is a historic coastal redwood tree in California that serves as the namesake and iconic symbol of the city of Palo Alto.
  • C. San Mateo
    San Mateo is a landlocked municipality in the province of Rizal in the Philippines, known for its mix of suburban communities, hilly terrain, and proximity to Metro Manila.
  • D. San Mateo
    San Mateo is a city in California’s San Francisco Bay Area, known for its suburban neighborhoods, parks, and role as a commercial and residential hub on the Peninsula.
  • E. San Jose
    San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde8851844819092330e74561b7e34 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62d41448190ab65fb9c81d4d673 completed May 2, 2026, 1:03 p.m.
Created at: March 30, 2026, 9:06 p.m.