Triple
T18363285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MGGT |
E439973
|
entity |
| Predicate | associatedIATAcode |
P2569
|
FINISHED |
| Object |
GUA
GUA is the IATA airport code for La Aurora International Airport serving Guatemala City, Guatemala.
|
E1320459
|
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: GUA | Statement: [MGGT, associatedIATAcode, GUA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GUA Context triple: [MGGT, associatedIATAcode, GUA]
-
A.
GUA
GUA is the official FIFA trigramme used to represent the Guatemala national football team in international competitions and records.
-
B.
GUA
GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
-
C.
GAU
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
-
D.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
E.
GAU
GAU is the abbreviation for the Main Artillery Directorate, the former central authority overseeing artillery and armaments in the Soviet (and earlier Russian) military.
- 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: GUA Triple: [MGGT, associatedIATAcode, GUA]
Generated description
GUA is the IATA airport code for La Aurora International Airport serving Guatemala City, Guatemala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GUA Target entity description: GUA is the IATA airport code for La Aurora International Airport serving Guatemala City, Guatemala.
-
A.
GUA
GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
-
B.
GUA
GUA is the official FIFA trigramme used to represent the Guatemala national football team in international competitions and records.
-
C.
GAU
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
-
D.
GAU
GAU is the abbreviation for the Main Artillery Directorate, the former central authority overseeing artillery and armaments in the Soviet (and earlier Russian) military.
-
E.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516dd973c8190857c588ab9ad9daf |
completed | April 19, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc344eec8190873c44ab093b95e5 |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03d42adeb481909b6d16ea8bdd7ed0 |
completed | May 13, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d504c0f08190b08d4bb319719643 |
completed | May 13, 2026, 1:33 a.m. |
Created at: April 10, 2026, 10:37 a.m.