Triple
T10476498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Electoral Commission of Poland |
E247056
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
PKW
PKW is the Polish National Electoral Commission, the central authority responsible for overseeing and administering elections and referendums in Poland.
|
E865762
|
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: PKW | Statement: [National Electoral Commission of Poland, abbreviation, PKW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PKW Context triple: [National Electoral Commission of Poland, abbreviation, PKW]
-
A.
Parkar
Parkar is a less common spelling variant of the surname Parker, which is of English origin.
-
B.
Araba
Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
-
C.
Gautoi
Gautoi is the Latin name used in historical sources for the Geats, a North Germanic people from what is now southern Sweden.
-
D.
AUTO
AUTO is the autopilot robot aboard the starliner Axiom in Pixar's film "WALL-E," serving as the primary antagonist enforcing the ship's directive to never return to Earth.
-
E.
CAR
CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
- 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: PKW Triple: [National Electoral Commission of Poland, abbreviation, PKW]
Generated description
PKW is the Polish National Electoral Commission, the central authority responsible for overseeing and administering elections and referendums in Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PKW Target entity description: PKW is the Polish National Electoral Commission, the central authority responsible for overseeing and administering elections and referendums in Poland.
-
A.
Parkar
Parkar is a less common spelling variant of the surname Parker, which is of English origin.
-
B.
Araba
Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
-
C.
Gautoi
Gautoi is the Latin name used in historical sources for the Geats, a North Germanic people from what is now southern Sweden.
-
D.
AUTO
AUTO is the autopilot robot aboard the starliner Axiom in Pixar's film "WALL-E," serving as the primary antagonist enforcing the ship's directive to never return to Earth.
-
E.
CAR
CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095021e081908dfaa467938c13fd |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a01d8b888190a9137b104f0e0c0c |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a43ba5448190ae666168ea731e4f |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a62a0e58819093a6f809585f5010 |
completed | April 10, 2026, 7:26 a.m. |
Created at: April 6, 2026, 12:21 p.m.