Triple
T4987840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stornoway Airport |
E112047
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
EGPO
EGPO is the ICAO airport code for Stornoway Airport on the Isle of Lewis in Scotland.
|
E484397
|
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: EGPO | Statement: [Stornoway Airport, ICAOcode, EGPO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EGPO Context triple: [Stornoway Airport, ICAOcode, EGPO]
-
A.
Seveso
Seveso is a small river in Lombardy, Italy, that flows through the northern part of the Milan metropolitan area and is known for its frequent flooding and heavy urbanization.
-
B.
Ascó Nuclear Power Plant
Ascó Nuclear Power Plant is a major Spanish nuclear power facility located in Catalonia that generates electricity using pressurized water reactors.
-
C.
Guthega Power Station
Guthega Power Station is a hydroelectric power plant in New South Wales, Australia, forming part of the large-scale Snowy Mountains Hydroelectric Scheme.
-
D.
Ptolemaida Power Station
Ptolemaida Power Station is a major lignite-fired thermal power plant in northern Greece that has long been one of the country’s key electricity-generating facilities.
-
E.
SIVA chemical factory
SIVA chemical factory was an Italian industrial plant where writer and chemist Primo Levi worked as a chemist after surviving World War II.
- 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: EGPO Triple: [Stornoway Airport, ICAOcode, EGPO]
Generated description
EGPO is the ICAO airport code for Stornoway Airport on the Isle of Lewis in Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EGPO Target entity description: EGPO is the ICAO airport code for Stornoway Airport on the Isle of Lewis in Scotland.
-
A.
Seveso
Seveso is a small river in Lombardy, Italy, that flows through the northern part of the Milan metropolitan area and is known for its frequent flooding and heavy urbanization.
-
B.
Ascó Nuclear Power Plant
Ascó Nuclear Power Plant is a major Spanish nuclear power facility located in Catalonia that generates electricity using pressurized water reactors.
-
C.
Guthega Power Station
Guthega Power Station is a hydroelectric power plant in New South Wales, Australia, forming part of the large-scale Snowy Mountains Hydroelectric Scheme.
-
D.
Ptolemaida Power Station
Ptolemaida Power Station is a major lignite-fired thermal power plant in northern Greece that has long been one of the country’s key electricity-generating facilities.
-
E.
SIVA chemical factory
SIVA chemical factory was an Italian industrial plant where writer and chemist Primo Levi worked as a chemist after surviving World War II.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727d473c8190beea66bf11a826e3 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a20a8f88190980409794c90461f |
completed | March 21, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69be8b66c01c81908d5a06e4db395863 |
completed | March 21, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8be2ab388190b8e4903d299e3a34 |
completed | March 21, 2026, 12:15 p.m. |
Created at: March 20, 2026, 1:34 p.m.