Triple

T16360495
Position Surface form Disambiguated ID Type / Status
Subject Balagtas E397296 entity
Predicate hasDemonym P191 FINISHED
Object Balagteño
A Balagteño is a resident or native of the municipality of Balagtas in the province of Bulacan, Philippines.
 E1208905 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: Balagteño | Statement: [Balagtas, hasDemonym, Balagteño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Balagteño
Context triple: [Balagtas, hasDemonym, Balagteño]
  • A. Bacoleña
    Bacoleña is the Spanish-derived demonym referring to a female resident or native of Bacolor, a municipality in the Philippines.
  • B. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • C. Babahoyense
    Babahoyense refers to the inhabitants or natives of Babahoyo, a city in Ecuador’s Los Ríos Province.
  • D. Ibanag
    Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • E. Malibcong
    Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
  • 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: Balagteño
Triple: [Balagtas, hasDemonym, Balagteño]
Generated description
A Balagteño is a resident or native of the municipality of Balagtas in the province of Bulacan, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Balagteño
Target entity description: A Balagteño is a resident or native of the municipality of Balagtas in the province of Bulacan, Philippines.
  • A. Bacoleña
    Bacoleña is the Spanish-derived demonym referring to a female resident or native of Bacolor, a municipality in the Philippines.
  • B. Malpaso
    Malpaso is the highest peak on the Canary Island of El Hierro, known for its panoramic views over the island and surrounding Atlantic Ocean.
  • C. Babahoyense
    Babahoyense refers to the inhabitants or natives of Babahoyo, a city in Ecuador’s Los Ríos Province.
  • D. Ibanag
    Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • E. Malibcong
    Malibcong is a remote, mountainous municipality in the Philippine province of Abra known for its indigenous communities and largely undeveloped natural landscapes.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad241848190a9f32c7b050f20a5 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbce2508190b655de87f48e841e completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f8278e48190a1eb1e11616f6cc5 completed May 10, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_6a002fe676688190b53cb938d7de78c0 completed May 10, 2026, 7:12 a.m.
Created at: April 10, 2026, 5:08 a.m.