Triple
T4074265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peruvian National Police |
E86723
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
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.
|
E411414
|
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: [Peruvian National Police, abbreviation, PNP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNP Context triple: [Peruvian National Police, abbreviation, PNP]
-
A.
PN
PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
-
B.
PNE
PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
-
C.
PNQ
PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
-
D.
PNX
PNX is the IATA airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
-
E.
NVP
NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
- 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: [Peruvian National Police, abbreviation, PNP]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PNP Target entity description: 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.
-
A.
PN
PN is the official abbreviation for the Philippine Navy, the naval warfare branch of the Armed Forces of the Philippines.
-
B.
PNE
PNE is a professional football club based in Preston, Lancashire, England, known for being one of the founding members of the English Football League.
-
C.
PNQ
PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
-
D.
PNX
PNX is the IATA airport code for North Texas Regional Airport, a public airport serving the Sherman–Denison area in Texas, United States.
-
E.
NVP
NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc245d888190ae773f9c3077953b |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562bc05948190a9ad709768420588 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b563b5cc108190bb9684abafa608af |
completed | March 14, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5646606f08190930451ac372154cd |
completed | March 14, 2026, 1:36 p.m. |
Created at: March 9, 2026, 3:39 p.m.