Triple
T13155114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chetumal International Airport |
E312563
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
CTM
CTM is the IATA airport code for Chetumal International Airport in Chetumal, Quintana Roo, Mexico.
|
E1024025
|
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: CTM | Statement: [Chetumal International Airport, IATAcode, CTM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTM Context triple: [Chetumal International Airport, IATAcode, CTM]
-
A.
CRTM
CRTM is the regional public authority that plans, coordinates, and oversees the integrated public transport system in the Madrid metropolitan area.
-
B.
CTC
CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
-
C.
CTC
CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
-
D.
CTC
CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
-
E.
CCT
CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
- 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: CTM Triple: [Chetumal International Airport, IATAcode, CTM]
Generated description
CTM is the IATA airport code for Chetumal International Airport in Chetumal, Quintana Roo, Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CTM Target entity description: CTM is the IATA airport code for Chetumal International Airport in Chetumal, Quintana Roo, Mexico.
-
A.
CRTM
CRTM is the regional public authority that plans, coordinates, and oversees the integrated public transport system in the Madrid metropolitan area.
-
B.
CTC
CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
-
C.
CTC
CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
-
D.
CTC
CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
-
E.
CCT
CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c06ccb881909390df18e1a6f7ed |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaee8aa0819089994b85d56c7740 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ef102fb08190b8a9646e5b45155c |
completed | May 3, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef933f888190880e680f7f4c1c29 |
completed | May 3, 2026, 6:47 a.m. |
Created at: April 9, 2026, 9:12 p.m.