Triple
T23050593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariscal Lamar International Airport |
E573999
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
CUE
CUE is the IATA airport code for Mariscal Lamar International Airport serving the city of Cuenca in Ecuador.
|
E1568928
|
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: CUE | Statement: [Mariscal Lamar International Airport, IATAcode, CUE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUE Context triple: [Mariscal Lamar International Airport, IATAcode, CUE]
-
A.
CUE
CUE is Kenya’s national regulatory body responsible for quality assurance, accreditation, and standards in university education.
-
B.
CUE
CUE is a small, private university in Edmonton, Alberta, Canada, offering undergraduate and graduate programs in arts, science, and professional fields.
-
C.
CUE
CUE is Cadillac’s proprietary in-car infotainment and connectivity system that integrates navigation, media, and vehicle controls through a touchscreen interface.
-
D.
Cue
Cue is a historic gold-mining town in Western Australia known for its well-preserved heritage buildings and remote outback setting.
-
E.
CUEIV
CUEIV is a specialized academic and research center focused on the scientific study and monitoring of volcanic activity.
- 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: CUE Triple: [Mariscal Lamar International Airport, IATAcode, CUE]
Generated description
CUE is the IATA airport code for Mariscal Lamar International Airport serving the city of Cuenca in Ecuador.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CUE Target entity description: CUE is the IATA airport code for Mariscal Lamar International Airport serving the city of Cuenca in Ecuador.
-
A.
CUE
CUE is Kenya’s national regulatory body responsible for quality assurance, accreditation, and standards in university education.
-
B.
CUE
CUE is a small, private university in Edmonton, Alberta, Canada, offering undergraduate and graduate programs in arts, science, and professional fields.
-
C.
CUE
CUE is Cadillac’s proprietary in-car infotainment and connectivity system that integrates navigation, media, and vehicle controls through a touchscreen interface.
-
D.
Cue
Cue is a historic gold-mining town in Western Australia known for its well-preserved heritage buildings and remote outback setting.
-
E.
CUEIV
CUEIV is a specialized academic and research center focused on the scientific study and monitoring of volcanic activity.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ade221081909d25033a5edc73ca |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0f3fe0d081908b86806ec2399eca |
completed | May 19, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0fd3f8608190879a222a697716bd |
completed | May 19, 2026, 7:23 a.m. |
Created at: April 17, 2026, 3:54 p.m.