Triple
T10072408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toluca International Airport |
E213661
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
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.
|
E839672
|
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: MMTO | Statement: [Toluca International Airport, ICAOcode, MMTO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MMTO Context triple: [Toluca International Airport, ICAOcode, MMTO]
-
A.
MTO
MTO is an abbreviation for the Mediterranean Theater of Operations, the World War II combat zone encompassing Allied and Axis military campaigns around the Mediterranean Sea.
-
B.
MTO
MTO is the provincial government ministry responsible for transportation infrastructure, policy, and services in Ontario, Canada.
-
C.
MTO
MTO is the National Rail station code for Marton railway station in Middlesbrough, England.
-
D.
MTT
MTT is the acronym for Cuba’s Territorial Troops Militia, a large volunteer defense force integrated into the country’s national defense system.
-
E.
MM
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
- 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: MMTO Triple: [Toluca International Airport, ICAOcode, MMTO]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MMTO Target entity description: 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.
-
A.
MTO
MTO is an abbreviation for the Mediterranean Theater of Operations, the World War II combat zone encompassing Allied and Axis military campaigns around the Mediterranean Sea.
-
B.
MTO
MTO is the provincial government ministry responsible for transportation infrastructure, policy, and services in Ontario, Canada.
-
C.
MTO
MTO is the National Rail station code for Marton railway station in Middlesbrough, England.
-
D.
MTT
MTT is the acronym for Cuba’s Territorial Troops Militia, a large volunteer defense force integrated into the country’s national defense system.
-
E.
MM
MM is a post-nominal abbreviation indicating that a person has been awarded the Military Medal for bravery in battle.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd013c9d0819091ebe6fc399832de |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ab376488190bfb3efdb3f240cca |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29d670ce881909e9881235790d9ff |
completed | April 5, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29e0779608190828c81cc8868bae2 |
completed | April 5, 2026, 5:38 p.m. |
Created at: March 30, 2026, 8:59 p.m.