Triple
T15805677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lic. Jesús Terán Peredo International Airport |
E383209
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | AGU |
E1163830
|
NE FINISHED |
How this triple was built (2 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: AGU | Statement: [Lic. Jesús Terán Peredo International Airport, IATAcode, AGU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGU Context triple: [Lic. Jesús Terán Peredo International Airport, IATAcode, AGU]
-
A.
AGU
AGU is a regional public university in Bahrain that focuses on higher education and research serving the Gulf Cooperation Council (GCC) countries.
-
B.
AGU
chosen
AGU is the IATA airport code for Aguascalientes International Airport in Aguascalientes, Mexico.
-
C.
AGU
AGU is the standard code for the Mexican state of Aguascalientes.
-
D.
American Geophysical Union
The American Geophysical Union is a nonprofit scientific organization dedicated to advancing Earth and space sciences through research, publications, and conferences.
-
E.
Geological Society of America
The Geological Society of America is a leading professional organization dedicated to advancing the geosciences through research, education, and the dissemination of scientific knowledge.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998d17648190b9f020632461965f |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.