Triple
T5764580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uyuni Airport |
E127178
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Uyuni |
E127176
|
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: Uyuni | Statement: [Uyuni Airport, serves, Uyuni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uyuni Context triple: [Uyuni Airport, serves, Uyuni]
-
A.
Uyuni
chosen
Uyuni is a small town in southwestern Bolivia that serves as the main gateway for tourists visiting the vast Salar de Uyuni salt flats.
-
B.
Yumbel
Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
-
C.
El Alto
El Alto is a rapidly growing Bolivian city adjacent to La Paz, known for its high altitude, vibrant Aymara culture, and role as a major commercial and transportation hub.
-
D.
Puno
Puno is a city in southeastern Peru on the shores of Lake Titicaca, known as a cultural center of the Andean highlands and a gateway to the lake’s islands.
-
E.
Zipaquirá
Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0296fa3e881909359bc39892ccc18 |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b0c6c3e08190b0118908ecb85df2 |
completed | March 23, 2026, 3:17 a.m. |
Created at: March 22, 2026, 3:49 p.m.