Triple
T16154287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacajes Province |
E391996
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Coro Coro |
E1197998
|
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: Coro Coro | Statement: [Pacajes Province, seat, Coro Coro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coro Coro Context triple: [Pacajes Province, seat, Coro Coro]
-
A.
Coro Coro
chosen
Coro Coro is a town in western Bolivia known historically for its copper mining and administrative role in the Pacajes Province of the La Paz Department.
-
B.
Korekore
Korekore is a major dialect of the Shona language spoken primarily in northern Zimbabwe.
-
C.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
D.
Honancho
Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
-
E.
Ebisucho
Ebisucho is a commercial and entertainment district in Osaka’s Naniwa Ward, known for its proximity to Den Den Town and its mix of electronics shops, eateries, and local businesses.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e57e95c8190ae4ed641be974ce5 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffef4f96c8190aec3e1411c1d9471 |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:01 a.m.