Triple

T10944279
Position Surface form Disambiguated ID Type / Status
Subject Davao del Sur E258553 entity
Predicate hasMunicipality P847 FINISHED
Object Hagonoy
Hagonoy is a coastal agricultural municipality in the province of Davao del Sur in the Philippines.
 E928160 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: Hagonoy | Statement: [Davao del Sur, hasMunicipality, Hagonoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hagonoy
Context triple: [Davao del Sur, hasMunicipality, Hagonoy]
  • A. Hagonoy
    Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
  • B. Hobokan
    Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
  • C. Nagayama
    Nagayama is a residential and commercial district within Tama New Town in Tokyo, Japan, known for its planned urban layout and local amenities.
  • D. Higashi
    Higashi is a residential and commercial neighborhood located in Tokyo's Shibuya ward.
  • E. Gohatto
    Gohatto is a 1999 Japanese period drama film directed by Nagisa Ōshima that explores forbidden desire and tensions within the samurai ranks of the Shinsengumi.
  • 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: Hagonoy
Triple: [Davao del Sur, hasMunicipality, Hagonoy]
Generated description
Hagonoy is a coastal agricultural municipality in the province of Davao del Sur in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hagonoy
Target entity description: Hagonoy is a coastal agricultural municipality in the province of Davao del Sur in the Philippines.
  • A. Hagonoy
    Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
  • B. Hobokan
    Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
  • C. Nagayama
    Nagayama is a residential and commercial district within Tama New Town in Tokyo, Japan, known for its planned urban layout and local amenities.
  • D. Higashi
    Higashi is a residential and commercial neighborhood located in Tokyo's Shibuya ward.
  • E. Gohatto
    Gohatto is a 1999 Japanese period drama film directed by Nagisa Ōshima that explores forbidden desire and tensions within the samurai ranks of the Shinsengumi.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6037fdf80819091fb2c8bf128582d completed April 20, 2026, 10:44 a.m.
NEDg Description generation batch_69e60d7fc1208190a3a7ff0229806714 completed April 20, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69e617fdaaa88190a1860fb00309596b completed April 20, 2026, 12:11 p.m.
Created at: April 8, 2026, 9:23 p.m.