Triple

T4639017
Position Surface form Disambiguated ID Type / Status
Subject Region XI E101605 entity
Predicate hasCity P316 FINISHED
Object Digos
Digos is a component city in the province of Davao del Sur in the Philippines, serving as a commercial and administrative center in the Davao Region.
E456775 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: Digos | Statement: [Region XI, hasCity, Digos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digos
Context triple: [Region XI, hasCity, Digos]
  • A. Digos
    Digos is a specialized investigative division of the Italian State Police focused on counterterrorism, political extremism, and other serious threats to public order and national security.
  • B. Koronadal
    Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
  • C. Guanajay
    Guanajay is a town and municipality in western Cuba known historically as an agricultural and commercial center near Havana.
  • D. Carmona
    Carmona is a municipality in the province of Cavite in the Philippines, known for its mix of residential communities and industrial estates.
  • E. Dasmariñas
    Dasmariñas is a rapidly urbanizing city in the province of Cavite in the Philippines, known as a major residential, commercial, and educational hub south of Metro Manila.
  • 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: Digos
Triple: [Region XI, hasCity, Digos]
Generated description
Digos is a component city in the province of Davao del Sur in the Philippines, serving as a commercial and administrative center in the Davao Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Digos
Target entity description: Digos is a component city in the province of Davao del Sur in the Philippines, serving as a commercial and administrative center in the Davao Region.
  • A. Digos
    Digos is a specialized investigative division of the Italian State Police focused on counterterrorism, political extremism, and other serious threats to public order and national security.
  • B. Koronadal
    Koronadal is a city in the Philippines that serves as the capital of South Cotabato and the regional administrative center of Soccsksargen.
  • C. Guanajay
    Guanajay is a town and municipality in western Cuba known historically as an agricultural and commercial center near Havana.
  • D. Carmona
    Carmona is a municipality in the province of Cavite in the Philippines, known for its mix of residential communities and industrial estates.
  • E. Dasmariñas
    Dasmariñas is a rapidly urbanizing city in the province of Cavite in the Philippines, known as a major residential, commercial, and educational hub south of Metro Manila.
  • 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_69bd43d3bc7c81908f81fcf380476b0f completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a8e0ee88190becab97d2ef1571a completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacf3cb08190a080e5ed1063902f completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb70b9d48190a32c5cc753c45aab completed March 21, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc54e194819080b1eb5b9f0dfe9e completed March 21, 2026, 2:03 a.m.
Created at: March 20, 2026, 1:13 p.m.