Triple
T1948520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People's Armed Police |
E42108
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
PAP
PAP is the commonly used abbreviation for China’s paramilitary People’s Armed Police force responsible for internal security and law enforcement support.
|
E218228
|
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: PAP | Statement: [People's Armed Police, shortName, PAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAP Context triple: [People's Armed Police, shortName, PAP]
-
A.
PAP
PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
-
B.
PAPPG
PAPPG is the National Science Foundation’s comprehensive guide outlining the policies, procedures, and requirements for preparing and managing NSF grant proposals and awards.
-
C.
PAM
PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
-
D.
PBAP
PBAP (Phone Book Access Profile) is a Bluetooth profile that enables devices like car kits and headsets to access and manage a phone’s contacts and call history wirelessly.
-
E.
PA
PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
- 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: PAP Triple: [People's Armed Police, shortName, PAP]
Generated description
PAP is the commonly used abbreviation for China’s paramilitary People’s Armed Police force responsible for internal security and law enforcement support.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PAP Target entity description: PAP is the commonly used abbreviation for China’s paramilitary People’s Armed Police force responsible for internal security and law enforcement support.
-
A.
PAP
PAP is the legislative body of the African Union that aims to promote democracy, human rights, and integration across African states.
-
B.
PAPPG
PAPPG is the National Science Foundation’s comprehensive guide outlining the policies, procedures, and requirements for preparing and managing NSF grant proposals and awards.
-
C.
PAM
PAM is the IATA airport code for Tyndall Air Force Base, a United States Air Force installation near Panama City, Florida.
-
D.
PBAP
PBAP (Phone Book Access Profile) is a Bluetooth profile that enables devices like car kits and headsets to access and manage a phone’s contacts and call history wirelessly.
-
E.
PA
PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3315df481908f60cd87453fbc03 |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbbf724081909b24680d483edbd1 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc6aa96c81909ae3cff6c7ab7f79 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfcebbc808190a74f9082636bce11 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:36 p.m.