Triple

T5068080
Position Surface form Disambiguated ID Type / Status
Subject Mountain House E114191 entity
Predicate commuterDestination P61070 FINISHED
Object San Jose, California E1776 NE FINISHED

How this triple was built (3 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, California | Statement: [Mountain House, commuterDestination, San Jose, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Jose, California
Context triple: [Mountain House, commuterDestination, San Jose, California]
  • 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 chosen
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • C. San Jose
    San Jose is the main town on the island of Tinian in the Northern Mariana Islands, serving as its administrative and population center.
  • D. San Jose
    San Jose is a coastal municipality in the Philippine province of Negros Oriental known for its rural communities and proximity to Dumaguete City.
  • E. San Jose
    San Jose is a coastal municipality in the province of Northern Samar in the Eastern Visayas region of the Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commuterDestination
Context triple: [Mountain House, commuterDestination, San Jose, California]
  • A. commuterServiceTo
    Indicates a transportation service that regularly carries commuters to a specified destination.
  • B. commutesBetween
    Indicates a regular pattern of travel back and forth between two locations, typically for work, study, or routine activities.
  • C. hasTramDestination
    Indicates that a tram route or service goes to or terminates at a specified destination.
  • D. hasPublicTransitRoute
    Indicates that there exists a public transportation route (such as a bus, train, or tram line) connecting or serving the related entities.
  • E. hasCommuterOrientation
    Indicates that an entity is designed or intended primarily for use by commuters, emphasizing suitability for regular travel between home and work or study.
  • F. None of above. chosen

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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749dd1a08190858fa739df024eb4 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f8a8a08190b403b8c3caf20009 completed March 21, 2026, 5:44 p.m.
PD Predicate disambiguation batch_69bd715622b48190a3e8e49a5ef62b4a completed March 20, 2026, 4:09 p.m.
PDg Predicate description generation batch_69bd738ac2e0819099c06cdcc5e21d28 completed March 20, 2026, 4:19 p.m.
Created at: March 20, 2026, 1:38 p.m.