Triple

T17816321
Position Surface form Disambiguated ID Type / Status
Subject Occidental Mindoro E444849 entity
Predicate hasMajorTown P316 FINISHED
Object San Jose
San Jose is a major coastal municipality in the province of Occidental Mindoro in the Philippines, known as a commercial and transportation hub for the region.
 E1295285 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: [Occidental Mindoro, hasMajorTown, San Jose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Jose
Context triple: [Occidental Mindoro, hasMajorTown, San Jose]
  • A. 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.
  • B. 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.
  • C. San Jose
    San Jose is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and rural communities.
  • D. San Jose
    San Jose is a barangay (village-level administrative division) within the municipality of Dumalag in the Philippines.
  • E. San Jose
    San Jose is the principal town and administrative center of the Philippine province of Dinagat Islands.
  • 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: [Occidental Mindoro, hasMajorTown, San Jose]
Generated description
San Jose is a major coastal municipality in the province of Occidental Mindoro in the Philippines, known as a commercial and transportation hub for the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: San Jose
Target entity description: San Jose is a major coastal municipality in the province of Occidental Mindoro in the Philippines, known as a commercial and transportation hub for the region.
  • A. San Jose chosen
    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.
  • 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 Tarlac in the Central Luzon region of the Philippines, known for its predominantly agricultural economy.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887f7d048190b6d813b9f0fab3e7 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032ffc69cc8190840b439ec5ddf90d completed May 12, 2026, 1:49 p.m.
NEDg Description generation batch_6a033156386c8190ae4b38af83fe2751 completed May 12, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0331d633bc8190b8dbdd2f44acf28c completed May 12, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:14 a.m.