Triple
T410870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish People’s Army |
E9486
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
LWP
LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
|
E51993
|
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: LWP | Statement: [Polish People’s Army, shortName, LWP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LWP Context triple: [Polish People’s Army, shortName, LWP]
-
A.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
B.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
C.
LDP
LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
-
D.
LFPB
LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
-
E.
Le
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
- 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: LWP Triple: [Polish People’s Army, shortName, LWP]
Generated description
LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LWP Target entity description: LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
-
A.
WCP
WCP is the abbreviation for the World Climate Programme, an international initiative focused on understanding and addressing global climate variability and change.
-
B.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
C.
LDP
LDP is a common abbreviation for the Liberal Democratic Party, a major political party name used in several countries, most prominently Japan.
-
D.
LFPB
LFPB is the ICAO airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for business aviation and the Paris Air Show.
-
E.
Le
Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecd96fec8190948fe64928ab4d85 |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4177a3ef88190bb331ab9034ead7d |
completed | March 1, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_69a4183d18348190b8518ae51d29a57c |
completed | March 1, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a41897ffe88190a8c166c8b07e0cbf |
completed | March 1, 2026, 10:44 a.m. |
Created at: Feb. 28, 2026, 1:09 p.m.