Triple
T19561863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cutral Có |
E489471
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
CUT
CUT is the IATA airport code for Cutral Có Airport, which serves the city of Cutral Có in Neuquén Province, Argentina.
|
E1384225
|
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: CUT | Statement: [Cutral Có, airportIATAcode, CUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUT Context triple: [Cutral Có, airportIATAcode, CUT]
-
A.
CUT
CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
-
B.
CUT
CUT is the commonly used acronym for the Central University of Technology, a higher education institution in South Africa.
-
C.
CUT
CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
-
D.
Cut
"Cut" is a song by the American indie rock band Low from their debut album "I Could Live in Hope."
-
E.
Cuts
Cuts is an American television sitcom that aired on UPN, featuring Shannon Elizabeth in a comedic role set around a family-owned barbershop.
- 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: CUT Triple: [Cutral Có, airportIATAcode, CUT]
Generated description
CUT is the IATA airport code for Cutral Có Airport, which serves the city of Cutral Có in Neuquén Province, Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CUT Target entity description: CUT is the IATA airport code for Cutral Có Airport, which serves the city of Cutral Có in Neuquén Province, Argentina.
-
A.
CUT
CUT is a public university in Limassol, Cyprus, known for its focus on applied research and technology-oriented academic programs.
-
B.
CUT
CUT is the National Rail station code assigned to Cutty Sark DLR station in London.
-
C.
CUT
CUT is the commonly used acronym for the Central University of Technology, a higher education institution in South Africa.
-
D.
Cut
"Cut" is a song by the American indie rock band Low from their debut album "I Could Live in Hope."
-
E.
Cuts
Cuts is an American television sitcom that aired on UPN, featuring Shannon Elizabeth in a comedic role set around a family-owned barbershop.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f74fdb08190852461b5d5c954ac |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075784e53c81908e7121096b4bd76a |
completed | May 15, 2026, 5:27 p.m. |
| NEDg | Description generation | batch_6a0758f52b38819092adc8e564d792b1 |
completed | May 15, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a075962f53881908fbf628ede13cf54 |
completed | May 15, 2026, 5:35 p.m. |
Created at: April 10, 2026, 1:42 p.m.