Triple

T1643106
Position Surface form Disambiguated ID Type / Status
Subject Tinian E35517 entity
Predicate capital P234 FINISHED
Object 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.
 E330688 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: [Tinian, capital, San Jose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Jose
Context triple: [Tinian, capital, San Jose]
  • A. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • B. 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.
  • C. San José
    San José is the capital and largest city of Costa Rica, known for its political, economic, and cultural significance in Central America.
  • D. San José
    San José is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • E. Milpitas
    Milpitas is a city in Santa Clara County, California, located at the southern end of the San Francisco Bay and known as part of Silicon Valley’s high-tech corridor.
  • 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: [Tinian, capital, San Jose]
Generated description
San Jose is the main town on the island of Tinian in the Northern Mariana Islands, serving as its administrative and population center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Jose
Target entity description: San Jose is the main town on the island of Tinian in the Northern Mariana Islands, serving as its administrative and population center.
  • A. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • B. 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.
  • C. San José
    San José is the capital and largest city of Costa Rica, known for its political, economic, and cultural significance in Central America.
  • D. San José
    San José is a small municipality and town located in the Caldas Department of Colombia, known for its coffee-growing rural landscape in the Andean region.
  • E. Milpitas
    Milpitas is a city in Santa Clara County, California, located at the southern end of the San Francisco Bay and known as part of Silicon Valley’s high-tech corridor.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a3f4d8c8190aa0a44d1c9b1a7f0 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b224711a908190b4be9dfcd7737edd completed March 12, 2026, 2:26 a.m.
NEDg Description generation batch_69b22522980c81909f1a1b6510da8489 completed March 12, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_69b225c6c2d88190adb381023e0c3219 completed March 12, 2026, 2:32 a.m.
Created at: March 4, 2026, 7:28 p.m.