Triple
T20549075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grupo Aeroportuario del Sureste |
E504550
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ASUR |
—
|
NE NERFINISHED |
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: ASUR | Statement: [Grupo Aeroportuario del Sureste, abbreviation, ASUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASUR Context triple: [Grupo Aeroportuario del Sureste, abbreviation, ASUR]
-
A.
ASUR
chosen
ASUR is a major Mexican airport operator that manages and develops a network of airports in the southeast region of Mexico and abroad.
-
B.
ASUN
ASUN is an NCAA Division I collegiate athletic conference primarily comprising universities in the southeastern United States.
-
C.
Asurans
The Asurans are a powerful, human-form replicator race in the TV series "Stargate Atlantis," known for their advanced technology, artificial origin, and recurring role as major adversaries to the Atlantis expedition.
-
D.
ASSE
ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
-
E.
ARS
ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5d56060819090f0e2f2f9957982 |
completed | April 20, 2026, 10:16 p.m. |
Created at: April 16, 2026, 11:38 a.m.