Triple
T22606708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuenca province |
E566580
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | city of Cuenca |
—
|
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: city of Cuenca | Statement: [Cuenca province, contains, city of Cuenca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Cuenca Context triple: [Cuenca province, contains, city of Cuenca]
-
A.
Cuenca
chosen
Cuenca is a historic Spanish city renowned for its medieval architecture and dramatic “hanging houses” perched above deep river gorges.
-
B.
Cuenca
Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
-
C.
Cuenca
Cuenca is a landlocked municipality in the province of Batangas in the Philippines, known for Mount Macolod and its agricultural communities.
-
D.
city of Quevedo
The city of Quevedo is an important urban and commercial center in Ecuador’s Los Ríos Province, known for its agricultural production and role as a regional transport hub.
-
E.
city of Loja
The city of Loja is a cultural and musical hub in southern Ecuador, known for its colonial architecture, universities, and role as a regional economic center.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:54 p.m.