Triple
T22698422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Cuenca |
E561247
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Cuenca, Ecuador |
—
|
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: Cuenca, Ecuador | Statement: [University of Cuenca, locatedIn, Cuenca, Ecuador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuenca, Ecuador Context triple: [University of Cuenca, locatedIn, Cuenca, Ecuador]
-
A.
San Miguel, Ecuador
San Miguel, Ecuador is a small town in the Bolívar Province of central Ecuador, known as a local administrative and commercial center in the Andean highlands.
-
B.
Cuenca
Cuenca is a landlocked municipality in the province of Batangas in the Philippines, known for Mount Macolod and its agricultural communities.
-
C.
Cuenca
chosen
Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
-
D.
Cuenca
Cuenca is a historic Spanish city renowned for its medieval architecture and dramatic “hanging houses” perched above deep river gorges.
-
E.
Quevedo, Ecuador
Quevedo, Ecuador is a mid-sized city in the coastal lowlands of central-western Ecuador, known as an important agricultural and commercial hub in the Los Ríos province.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178a008448190b393335704128fe8 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:14 p.m.