Triple
T11715935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mthatha River |
E278497
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Coffee Bay |
E318360
|
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: Coffee Bay | Statement: [Mthatha River, hasMouthNear, Coffee Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coffee Bay Context triple: [Mthatha River, hasMouthNear, Coffee Bay]
-
A.
Coffee Bay
chosen
Coffee Bay is a small, scenic coastal village in South Africa’s Eastern Cape, known for its rugged Wild Coast landscapes, beaches, and nearby Hole in the Wall rock formation.
-
B.
Chance Bay
Chance Bay is a secluded coastal inlet and beach area located within Queensland’s Whitsunday Islands, known for its natural beauty and access to the Great Barrier Reef.
-
C.
Mill Bay
Mill Bay is a coastal inlet on the island of Stronsay in Orkney, Scotland, known for its sheltered waters and surrounding rural landscape.
-
D.
North Bay
North Bay is a coastal inlet associated with the seaside town of Scarborough in North Yorkshire, England, known for its beaches and scenic shoreline.
-
E.
North Bay
North Bay is a scenic bay in Ontario, Canada, known for its picturesque shoreline and recreational waterfront along Lake Nipissing.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef83a9479c81909cbe63d81255a1bf |
completed | April 27, 2026, 3:41 p.m. |
Created at: April 8, 2026, 9:40 p.m.