Triple
T3302953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pellston Regional Airport |
E69377
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
PLN
PLN is the three-letter IATA airport code for Pellston Regional Airport in Michigan, United States.
|
E347634
|
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: PLN | Statement: [Pellston Regional Airport, IATA code, PLN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PLN Context triple: [Pellston Regional Airport, IATA code, PLN]
-
A.
PLN
PLN is the Polish złoty, the official national currency of Poland.
-
B.
Northern Powergrid
Northern Powergrid is a UK-based electricity distribution network operator responsible for delivering power to homes and businesses across the North East, Yorkshire, and northern Lincolnshire.
-
C.
Engie
Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
-
D.
Enedis
Enedis is the French electricity distribution network operator responsible for managing and maintaining most of France’s public power grid.
-
E.
Rural Electrification Administration
The Rural Electrification Administration was a New Deal-era U.S. government agency that financed and promoted the extension of electric power to rural and farm areas across the country.
- 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: PLN Triple: [Pellston Regional Airport, IATA code, PLN]
Generated description
PLN is the three-letter IATA airport code for Pellston Regional Airport in Michigan, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PLN Target entity description: PLN is the three-letter IATA airport code for Pellston Regional Airport in Michigan, United States.
-
A.
PLN
PLN is the Polish złoty, the official national currency of Poland.
-
B.
Northern Powergrid
Northern Powergrid is a UK-based electricity distribution network operator responsible for delivering power to homes and businesses across the North East, Yorkshire, and northern Lincolnshire.
-
C.
Engie
Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
-
D.
Enedis
Enedis is the French electricity distribution network operator responsible for managing and maintaining most of France’s public power grid.
-
E.
Rural Electrification Administration
The Rural Electrification Administration was a New Deal-era U.S. government agency that financed and promoted the extension of electric power to rural and farm areas across the country.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0c662308190aad8b2a93e1c8a5c |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3e383088190a056ca793ebf4ffe |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b2f9fb060881909dd940c69cf4a12e |
completed | March 12, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3137bf988819080cef6c1946ec622 |
completed | March 12, 2026, 7:26 p.m. |
Created at: March 8, 2026, 3:11 p.m.