Triple
T5315370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coll Airport |
E119133
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
COL
COL is the three-letter IATA airport code assigned to Coll Airport, a small airfield serving the island of Coll in Scotland.
|
E511039
|
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: COL | Statement: [Coll Airport, IATAcode, COL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: COL Context triple: [Coll Airport, IATAcode, COL]
-
A.
COL
COL is the acronym for the Commonwealth of Learning, an intergovernmental organization that promotes open and distance learning across Commonwealth countries.
-
B.
COL
COL is the standard three-letter abbreviation used for the Colorado Rockies Major League Baseball team.
-
C.
COL
COL is the standard three-letter abbreviation used to represent the Colorado Rapids, a professional Major League Soccer team based in the Denver metropolitan area.
-
D.
COL
COL is the standard NHL abbreviation for the Colorado Avalanche professional ice hockey team.
-
E.
COLL
COLL is the standard abbreviation for the Division of Colloid and Surface Chemistry, a professional body focused on research and advancement in colloid and surface science.
- 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: COL Triple: [Coll Airport, IATAcode, COL]
Generated description
COL is the three-letter IATA airport code assigned to Coll Airport, a small airfield serving the island of Coll in Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: COL Target entity description: COL is the three-letter IATA airport code assigned to Coll Airport, a small airfield serving the island of Coll in Scotland.
-
A.
COL
COL is the acronym for the Commonwealth of Learning, an intergovernmental organization that promotes open and distance learning across Commonwealth countries.
-
B.
COL
COL is the standard three-letter abbreviation used for the Colorado Rockies Major League Baseball team.
-
C.
COL
COL is the standard NHL abbreviation for the Colorado Avalanche professional ice hockey team.
-
D.
COL
COL is the standard three-letter abbreviation used to represent the Colorado Rapids, a professional Major League Soccer team based in the Denver metropolitan area.
-
E.
COLL
COLL is the standard abbreviation for the Division of Colloid and Surface Chemistry, a professional body focused on research and advancement in colloid and surface science.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854eb3248190b42a4b52f1c81bef |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf110e89548190a5eb0bad6ab0483b |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf1263876c8190a278f06ad8ac816a |
completed | March 21, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf12c123008190a0d3f3c23af59819 |
completed | March 21, 2026, 9:50 p.m. |
Created at: March 20, 2026, 1:54 p.m.