Triple
T15572371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quetzalcóatl International Airport |
E374276
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
MMNL
MMNL is the ICAO airport code assigned to Quetzalcóatl International Airport in Nuevo Laredo, Mexico.
|
E1165238
|
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: MMNL | Statement: [Quetzalcóatl International Airport, ICAOcode, MMNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MMNL Context triple: [Quetzalcóatl International Airport, ICAOcode, MMNL]
-
A.
Nmnl
Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
-
B.
MMML
MMML is the ICAO airport code for Mexicali International Airport in Mexicali, Baja California, Mexico.
-
C.
NNMC
NNMC is the commonly used abbreviation for the National Naval Medical Center, the former U.S. Navy flagship hospital in Bethesda, Maryland.
-
D.
NMM
NMM is the IATA airport code for Naval Air Station Meridian, a U.S. Navy air training facility in Mississippi.
-
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: MMNL Triple: [Quetzalcóatl International Airport, ICAOcode, MMNL]
Generated description
MMNL is the ICAO airport code assigned to Quetzalcóatl International Airport in Nuevo Laredo, Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MMNL Target entity description: MMNL is the ICAO airport code assigned to Quetzalcóatl International Airport in Nuevo Laredo, Mexico.
-
A.
Nmnl
Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
-
B.
MMML
MMML is the ICAO airport code for Mexicali International Airport in Mexicali, Baja California, Mexico.
-
C.
NNMC
NNMC is the commonly used abbreviation for the National Naval Medical Center, the former U.S. Navy flagship hospital in Bethesda, Maryland.
-
D.
NMM
NMM is the IATA airport code for Naval Air Station Meridian, a U.S. Navy air training facility in Mississippi.
-
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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2025888190a2b6240296bba13e |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4767e48190a180062688cdc245 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff507a84c081909ab592497be644fb |
completed | May 9, 2026, 3:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff50f653f48190ae5bd6fcb5665041 |
completed | May 9, 2026, 3:21 p.m. |
Created at: April 10, 2026, 4:10 a.m.