Triple
T5860858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cozumel International Airport |
E130270
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Cozumel |
E130270
|
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: Cozumel | Statement: [Cozumel International Airport, serves, Cozumel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cozumel Context triple: [Cozumel International Airport, serves, Cozumel]
-
A.
Cozumel
chosen
Cozumel is a Mexican Caribbean island renowned for its crystal-clear waters, coral reefs, and world-class scuba diving and snorkeling.
-
B.
Isla Mujeres
Isla Mujeres is a small Caribbean island off Mexico’s Yucatán Peninsula known for its white-sand beaches, clear turquoise waters, snorkeling and diving sites, and laid-back resort atmosphere.
-
C.
Isla Holbox
Isla Holbox is a small, car-free island off Mexico’s Yucatán Peninsula known for its laid-back atmosphere, white-sand beaches, and seasonal whale shark tours.
-
D.
Akumal
Akumal is a coastal town on Mexico’s Riviera Maya known for its tranquil beaches, coral reefs, and sea turtle snorkeling.
-
E.
Cayo Ballena
Cayo Ballena is a small offshore islet belonging to the Puerto Rican island municipality of Culebra in the Caribbean.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03588dd8c81909491350140ea340e |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e36fa8ac8190add9a5eb3ada4d0f |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:56 p.m.