Triple
T15646483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruapan International Airport |
E376189
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Michoacán |
E60621
|
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: Michoacán | Statement: [Uruapan International Airport, serves, Michoacán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michoacán Context triple: [Uruapan International Airport, serves, Michoacán]
-
A.
Michoacán
chosen
Michoacán is a state in western Mexico known for its diverse geography, rich indigenous and colonial heritage, and significant cultural traditions such as Day of the Dead celebrations.
-
B.
Jalisco
Jalisco is a western Mexican state known for its cultural influence, including mariachi music, tequila production, and the major city of Guadalajara.
-
C.
Oaxaca state
Oaxaca state is a culturally rich region in southern Mexico known for its indigenous heritage, colonial architecture, diverse cuisine, and important archaeological sites.
-
D.
Nayarit
Nayarit is a small Pacific-coast state in western Mexico known for its beaches, coastal resorts, and diverse mountainous and tropical landscapes.
-
E.
Chiapas
Chiapas is a southern Mexican state known for its rich indigenous cultures, Mayan archaeological sites like Palenque, and diverse natural landscapes including jungles and highlands.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff997e13e4819080a39f59172ab99c |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 4:15 a.m.