Triple
T23287568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Arequipa |
E589930
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cayma District |
—
|
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: Cayma District | Statement: [Province of Arequipa, contains, Cayma District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cayma District Context triple: [Province of Arequipa, contains, Cayma District]
-
A.
Cayma District
chosen
Cayma District is an urban district in the Arequipa Province of southern Peru, situated on the slopes near the Misti volcano and forming part of the greater Arequipa metropolitan area.
-
B.
Gurbuz District
Gurbuz District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
-
C.
Baykan District
Baykan District is an administrative district in southeastern Turkey known for its predominantly Kurdish population and location within Siirt Province.
-
D.
Sulusaray District
Sulusaray District is an administrative district in north-central Turkey known for its rural character and proximity to the ancient ruins of Sebastopolis.
-
E.
Kagizman District
Kagizman District is an administrative district in Turkey that encompasses the town of Kağızman and its surrounding rural areas.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19648842c81909756be4bc06b3a45 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5 p.m.