Triple

T8548046
Position Surface form Disambiguated ID Type / Status
Subject Philippine National Police E202374 entity
Predicate shortName P43 FINISHED
Object PNP
PNP is the national police force of the Philippines responsible for law enforcement, crime prevention, and public safety across the country.
 E742275 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: PNP | Statement: [Philippine National Police, shortName, PNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PNP
Context triple: [Philippine National Police, shortName, PNP]
  • A. PNP
    The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
  • B. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • C. PN
    PN is the station code for Penn–North station on the Baltimore Metro SubwayLink system.
  • D. PN
    PN is the vehicle registration code used for the Italian city and province of Pordenone in the Friuli Venezia Giulia region.
  • E. PN
    PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
  • 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: PNP
Triple: [Philippine National Police, shortName, PNP]
Generated description
PNP is the national police force of the Philippines responsible for law enforcement, crime prevention, and public safety across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PNP
Target entity description: PNP is the national police force of the Philippines responsible for law enforcement, crime prevention, and public safety across the country.
  • A. PNP
    The PNP is the national law enforcement agency of Peru responsible for maintaining public order, preventing and investigating crime, and ensuring internal security across the country.
  • B. PN
    PN is the station code for Penn–North station on the Baltimore Metro SubwayLink system.
  • C. PN
    PN is the vehicle registration code used for the Italian city and province of Pordenone in the Friuli Venezia Giulia region.
  • D. PN
    PN is the commonly used abbreviation for the National Parliament of East Timor, the country's unicameral legislative body.
  • E. PN
    PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe7529b648190b4b1cf1cb8836546 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dbbb12c819085d1abe289fd1f22 completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce71d9eac481908610589efa9f9ddd completed April 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69ce75b832248190b7273605cf5ff67a completed April 2, 2026, 1:57 p.m.
Created at: March 30, 2026, 6:19 p.m.