Triple

T20530691
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles–Seattle rail corridor E504057 entity
Predicate passesThroughCity P416 FINISHED
Object San Jose
San Jose is a major city in California’s Silicon Valley, known as a global center for technology and innovation.
 E1776 NE FINISHED

How this triple was built (4 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: San Jose | Statement: [Los Angeles–Seattle rail corridor, passesThroughCity, San Jose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Jose
Context triple: [Los Angeles–Seattle rail corridor, passesThroughCity, San Jose]
  • A. San Jose
    San Jose is a municipality in the province of Tarlac in the Central Luzon region of the Philippines, known for its predominantly agricultural economy.
  • B. San Jose
    San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
  • C. San Jose
    San Jose is a city in Bulacan, Philippines, officially known as San Jose del Monte and commonly referred to by its shortened nickname.
  • D. San Jose
    San Jose is a coastal municipality in the province of Occidental Mindoro in the Philippines, known as a commercial and transportation hub for the region.
  • E. San Jose
    San Jose is a residential neighborhood within the city of Bisbee in Cochise County, southeastern Arizona.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: San Jose
Triple: [Los Angeles–Seattle rail corridor, passesThroughCity, San Jose]
Generated description
San Jose is a major city in California’s Silicon Valley, known as a global center for technology and innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Jose
Target entity description: San Jose is a major city in California’s Silicon Valley, known as a global center for technology and innovation.
  • A. San Jose chosen
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • B. San Jose
    San Jose is a coastal municipality in the province of Occidental Mindoro in the Philippines, known as a commercial and transportation hub for the region.
  • C. San Jose
    San Jose is a municipality in the province of Tarlac in the Central Luzon region of the Philippines, known for its predominantly agricultural economy.
  • D. San Jose
    San Jose is a city in Bulacan, Philippines, officially known as San Jose del Monte and commonly referred to by its shortened nickname.
  • E. San Jose
    San Jose is a coastal municipality in the Philippine province of Romblon known for its island landscapes and fishing communities.
  • F. None of above.

Provenance (5 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06b923c81908ba24be6645a7c61 completed April 20, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08acd38254819083f2afd27675d7a6 completed May 16, 2026, 5:43 p.m.
NEDg Description generation batch_6a08ae05c00c819087e9cc9201be12bc completed May 16, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_6a08aec256988190bc43a1f784a458ec completed May 16, 2026, 5:52 p.m.
Created at: April 16, 2026, 11:37 a.m.