Triple
T11111223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish Airports State Enterprise |
E262758
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
PPL
PPL is the Polish state-owned enterprise that manages and operates major airports and aviation infrastructure in Poland.
|
E905806
|
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: PPL | Statement: [Polish Airports State Enterprise, hasAbbreviation, PPL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PPL Context triple: [Polish Airports State Enterprise, hasAbbreviation, PPL]
-
A.
CPL
CPL is a leadership education and research center at Harvard Kennedy School focused on developing principled, effective public leaders.
-
B.
CPL
The Canadian Premier League (CPL) is Canada's top-tier professional men's soccer league, founded in 2017 and officially launched in 2019.
-
C.
CPL
CPL is the commonly used abbreviation for the Challenger Pro League, a professional esports competition.
-
D.
CPL
CPL is a high school athletic conference in Chicago that organizes and governs interscholastic sports competition among the city’s public schools.
-
E.
CPL
CPL (Combined Programming Language) is an early high-level programming language from the 1960s that introduced many advanced features and influenced later languages such as BCPL and B.
- 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: PPL Triple: [Polish Airports State Enterprise, hasAbbreviation, PPL]
Generated description
PPL is the Polish state-owned enterprise that manages and operates major airports and aviation infrastructure in Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PPL Target entity description: PPL is the Polish state-owned enterprise that manages and operates major airports and aviation infrastructure in Poland.
-
A.
CPL
CPL is a leadership education and research center at Harvard Kennedy School focused on developing principled, effective public leaders.
-
B.
CPL
The Canadian Premier League (CPL) is Canada's top-tier professional men's soccer league, founded in 2017 and officially launched in 2019.
-
C.
CPL
CPL is the commonly used abbreviation for the Challenger Pro League, a professional esports competition.
-
D.
CPL
CPL is a high school athletic conference in Chicago that organizes and governs interscholastic sports competition among the city’s public schools.
-
E.
CPL
CPL (Combined Programming Language) is an early high-level programming language from the 1960s that introduced many advanced features and influenced later languages such as BCPL and B.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6964508190b679303d3b3a4fd6 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d759bc88190b670c373f3647a41 |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e4307baca48190bbf82f8235d7e2c7 |
completed | April 19, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e43771eaec8190be9bb709723931e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:27 p.m.