Triple

T12134559
Position Surface form Disambiguated ID Type / Status
Subject Dinagat Islands E289019 entity
Predicate seatOfGovernment P761 FINISHED
Object San Jose
San Jose is a municipality in the Philippines that serves as the administrative and political center of the province of Dinagat Islands.
 E1025852 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: [Dinagat Islands, seatOfGovernment, San Jose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Jose
Context triple: [Dinagat Islands, seatOfGovernment, San Jose]
  • A. San Jose
    San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
  • B. San Jose
    San Jose is a coastal municipality in the Philippine province of Romblon known for its island landscapes and fishing communities.
  • C. San Jose
    San Jose is a major technology and innovation hub in Silicon Valley and one of the largest cities in Northern California.
  • D. San Jose
    San Jose is a coastal municipality in the province of Northern Samar in the Eastern Visayas region of the Philippines.
  • E. 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.
  • 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: [Dinagat Islands, seatOfGovernment, San Jose]
Generated description
San Jose is a municipality in the Philippines that serves as the administrative and political center of the province of Dinagat Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Jose
Target entity description: San Jose is a municipality in the Philippines that serves as the administrative and political center of the province of Dinagat Islands.
  • A. San Jose chosen
    San Jose is the principal town and administrative center of the Philippine province of Dinagat Islands.
  • B. San Jose
    San Jose is a coastal municipality in the province of Northern Samar in the Eastern Visayas region of the Philippines.
  • C. San Jose
    San Jose is a coastal municipality in the Philippine province of Romblon known for its island landscapes and fishing communities.
  • 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 municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158c59e0819094d4522a107482b2 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b974fce88190ace5030555b7b5f1 completed May 3, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba99ad9c8190906b6b63cf27a446 completed May 3, 2026, 9:14 p.m.
Created at: April 8, 2026, 9:49 p.m.