Triple
T13064727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Crescencio Rejón International Airport |
E329290
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
MID
MID is the three-letter IATA airport code for Manuel Crescencio Rejón International Airport serving Mérida, Yucatán, Mexico.
|
E1019072
|
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: MID | Statement: [Manuel Crescencio Rejón International Airport, IATAcode, MID]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MID Context triple: [Manuel Crescencio Rejón International Airport, IATAcode, MID]
-
A.
MID
MID is the stock ticker symbol for the S&P MidCap 400 Index, which tracks the performance of medium-sized U.S. companies.
-
B.
MIDE
MIDE is an interactive economics museum in Mexico City that uses hands-on exhibits and educational programs to explain economic and financial concepts to the public.
-
C.
Middle
"Middle" is a 2015 melodic electronic dance track by French producer DJ Snake featuring vocals from Bipolar Sunshine.
-
D.
Mitjans
Mitjans is the family name of Francesc Mitjans i Miró, a notable Spanish architect associated with modernist architecture in Barcelona.
-
E.
Medium
Medium is an online publishing platform that allows writers and readers to share and discover long-form articles, essays, and stories across a wide range of topics.
- 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: MID Triple: [Manuel Crescencio Rejón International Airport, IATAcode, MID]
Generated description
MID is the three-letter IATA airport code for Manuel Crescencio Rejón International Airport serving Mérida, Yucatán, Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MID Target entity description: MID is the three-letter IATA airport code for Manuel Crescencio Rejón International Airport serving Mérida, Yucatán, Mexico.
-
A.
MID
MID is the stock ticker symbol for the S&P MidCap 400 Index, which tracks the performance of medium-sized U.S. companies.
-
B.
MIDE
MIDE is an interactive economics museum in Mexico City that uses hands-on exhibits and educational programs to explain economic and financial concepts to the public.
-
C.
Middle
"Middle" is a 2015 melodic electronic dance track by French producer DJ Snake featuring vocals from Bipolar Sunshine.
-
D.
Mitjans
Mitjans is the family name of Francesc Mitjans i Miró, a notable Spanish architect associated with modernist architecture in Barcelona.
-
E.
Medium
Medium is an online publishing platform that allows writers and readers to share and discover long-form articles, essays, and stories across a wide range of topics.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e9bdfc81908eb90fb50597df64 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6d039254881909927b58225f194de |
completed | May 3, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d0d218d4819080273a151a0890d3 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 9, 2026, 8:59 p.m.