Triple
T16377266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal Wars era |
E397708
|
entity |
| Predicate | keyFigure |
P256
|
FINISHED |
| Object | Saldanha |
E977777
|
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: [Liberal Wars era, keyFigure, Saldanha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saldanha Context triple: [Liberal Wars era, keyFigure, Saldanha]
-
A.
Saldanha
chosen
Saldanha is a Portuguese surname associated with various notable figures, including Brazilian film director Carlos Saldanha.
-
B.
Saldanha Bay
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.
-
C.
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.
-
D.
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.
-
E.
Lindi Port
Lindi Port is a coastal seaport in southeastern Tanzania that serves as a regional maritime hub for the Lindi area on the Indian Ocean.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d8a40c8190af37e7ed60b9c4dd |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356406208190a9cedc1de2ab4e07 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.