Triple

T29276720
Position Surface form Disambiguated ID Type / Status
Subject Bureau of Fire Protection E742262 entity
Predicate legalBasis P125 FINISHED
Object Republic Act No. 11589
Republic Act No. 11589 is a Philippine law that modernizes and strengthens the Bureau of Fire Protection by enhancing its organization, personnel, and resources to improve fire prevention and emergency response nationwide.
E1886963 NE FINISHED

How this triple was built (2 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: Republic Act No. 11589 | Statement: [Bureau of Fire Protection, legalBasis, Republic Act No. 11589]
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: Republic Act No. 11589
Triple: [Bureau of Fire Protection, legalBasis, Republic Act No. 11589]
Generated description
Republic Act No. 11589 is a Philippine law that modernizes and strengthens the Bureau of Fire Protection by enhancing its organization, personnel, and resources to improve fire prevention and emergency response nationwide.

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_69f0912124d48190a046642b69407f4c completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f665122c9c8190bc72315f4ad39fa1 completed May 2, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5cf7aec81908c69ad7ba593dae4 completed June 8, 2026, 3:54 p.m.
NEDg Description generation batch_6a26e7479c6881908716317b72b808da completed June 8, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_6a26e81aa86c819089fd224b7de75fc5 completed June 8, 2026, 4:04 p.m.
Created at: April 28, 2026, 12:51 p.m.