Triple
T11687088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saldanha Bay Local Municipality |
E277771
|
entity |
| Predicate | administers |
P123
|
FINISHED |
| Object | Saldanha |
E55910
|
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: Saldanha | Statement: [Saldanha Bay Local Municipality, administers, Saldanha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saldanha Context triple: [Saldanha Bay Local Municipality, administers, Saldanha]
-
A.
Saldanha Bay
chosen
Saldanha Bay is a natural deep-water harbor and coastal town on South Africa’s west coast, known for its fishing industry, port facilities, and maritime activities.
-
B.
Port Natal
Port Natal is the historical name for the South African port city of Durban, a major harbor and commercial center on the Indian Ocean coast.
-
C.
Porto das Dunas
Porto das Dunas is a popular beach and resort area in Aquiraz, Ceará, Brazil, known for its extensive sandy shoreline, seaside hotels, and the Beach Park water park complex.
-
D.
Santa Cruz do Sul
Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
-
E.
La Barra
La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4654be881909bd0256cf18e25de |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef14431f3c81908af9167c46f8c2bc |
completed | April 27, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:40 p.m.