Triple
T15024458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Francisco Javier Mina International Airport |
E378172
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
MMTM
MMTM is the ICAO airport code for General Francisco Javier Mina International Airport serving Tampico, Mexico.
|
E1134300
|
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: MMTM | Statement: [General Francisco Javier Mina International Airport, ICAOcode, MMTM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MMTM Context triple: [General Francisco Javier Mina International Airport, ICAOcode, MMTM]
-
A.
MMTU
MMTU is the ICAO airport code for Tulum International Airport in Tulum, Quintana Roo, Mexico.
-
B.
TMMK
TMMK is Toyota’s large-scale automobile manufacturing plant in Georgetown, Kentucky, known for producing popular Toyota and Lexus models for the North American market.
-
C.
MMTO
MMTO is the ICAO airport code for Toluca International Airport, a commercial and cargo airport serving the Toluca and greater Mexico City area in Mexico.
-
D.
MTM
MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
-
E.
MTM
MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
- 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: MMTM Triple: [General Francisco Javier Mina International Airport, ICAOcode, MMTM]
Generated description
MMTM is the ICAO airport code for General Francisco Javier Mina International Airport serving Tampico, Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MMTM Target entity description: MMTM is the ICAO airport code for General Francisco Javier Mina International Airport serving Tampico, Mexico.
-
A.
MMTU
MMTU is the ICAO airport code for Tulum International Airport in Tulum, Quintana Roo, Mexico.
-
B.
TMMK
TMMK is Toyota’s large-scale automobile manufacturing plant in Georgetown, Kentucky, known for producing popular Toyota and Lexus models for the North American market.
-
C.
MMTO
MMTO is the ICAO airport code for Toluca International Airport, a commercial and cargo airport serving the Toluca and greater Mexico City area in Mexico.
-
D.
MTM
MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
-
E.
MTM
MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7de117c8190a1b9fa8d1602057e |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd499108190b803c6afc0fa00bc |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fea09ea0e081908daed335c734c8c0 |
completed | May 9, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea0fd72508190a413f5bb07d1df28 |
completed | May 9, 2026, 2:50 a.m. |
Created at: April 10, 2026, 2:56 a.m.