Triple
T18341940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Roberto Fierro Villalobos International Airport |
E439428
|
entity |
| Predicate | iataCode |
P2569
|
FINISHED |
| Object |
CUU
CUU is the IATA airport code for General Roberto Fierro Villalobos International Airport serving Chihuahua City in northern Mexico.
|
E1319884
|
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: CUU | Statement: [General Roberto Fierro Villalobos International Airport, iataCode, CUU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CUU Context triple: [General Roberto Fierro Villalobos International Airport, iataCode, CUU]
-
A.
CUCC
CUCC is the abbreviation for the Cambridge University Cricket Club, the historic cricket club representing the University of Cambridge in first-class and university cricket.
-
B.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
C.
CU
CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
-
D.
CU
CU is the station code used to identify Cubao station on Manila’s MRT Line 3.
-
E.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
- 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: CUU Triple: [General Roberto Fierro Villalobos International Airport, iataCode, CUU]
Generated description
CUU is the IATA airport code for General Roberto Fierro Villalobos International Airport serving Chihuahua City in northern Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CUU Target entity description: CUU is the IATA airport code for General Roberto Fierro Villalobos International Airport serving Chihuahua City in northern Mexico.
-
A.
CUCC
CUCC is the abbreviation for the Cambridge University Cricket Club, the historic cricket club representing the University of Cambridge in first-class and university cricket.
-
B.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
C.
CU
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
-
D.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
-
E.
CU
CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f0b5a881908056d48bc48124b8 |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc21d5cc81909f8a154e400b02ad |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03d0debb7c8190b781d913052f3be3 |
completed | May 13, 2026, 1:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d154ca208190bf1db64c3193cdb0 |
completed | May 13, 2026, 1:18 a.m. |
Created at: April 10, 2026, 10:37 a.m.