Triple
T1272879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pueblo Memorial Airport |
E15748
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KPUB
KPUB is the ICAO airport code for Pueblo Memorial Airport, a public airport serving Pueblo, Colorado, in the United States.
|
E144705
|
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: KPUB | Statement: [Pueblo Memorial Airport, ICAOcode, KPUB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KPUB Context triple: [Pueblo Memorial Airport, ICAOcode, KPUB]
-
A.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
B.
GNU Press
GNU Press is the publishing arm of the GNU Project that produces and distributes books and materials advocating free software principles and digital freedom.
-
C.
KP
KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
-
D.
Gutenberg
Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
-
E.
Rocket eBook at NuvoMedia
Rocket eBook at NuvoMedia was one of the first commercially produced handheld electronic book readers, co-developed by engineer and entrepreneur Marc Tarpenning in the late 1990s.
- 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: KPUB Triple: [Pueblo Memorial Airport, ICAOcode, KPUB]
Generated description
KPUB is the ICAO airport code for Pueblo Memorial Airport, a public airport serving Pueblo, Colorado, in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KPUB Target entity description: KPUB is the ICAO airport code for Pueblo Memorial Airport, a public airport serving Pueblo, Colorado, in the United States.
-
A.
Pan Books
Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
-
B.
GNU Press
GNU Press is the publishing arm of the GNU Project that produces and distributes books and materials advocating free software principles and digital freedom.
-
C.
KP
KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
-
D.
Gutenberg
Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
-
E.
Rocket eBook at NuvoMedia
Rocket eBook at NuvoMedia was one of the first commercially produced handheld electronic book readers, co-developed by engineer and entrepreneur Marc Tarpenning in the late 1990s.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06c033081909bc594157abaf5bb |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac998e56488190ac3cf51563335e30 |
completed | March 7, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69ac9a13e9548190ae1fbfeba3326cd5 |
completed | March 7, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9a96d4f081908e608a3f247bbfb2 |
completed | March 7, 2026, 9:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.