Triple
T14818809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuanza Sul Province |
E348387
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Sumbe |
E1121559
|
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: Sumbe | Statement: [Cuanza Sul Province, administrativeCenter, Sumbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumbe Context triple: [Cuanza Sul Province, administrativeCenter, Sumbe]
-
A.
Sumbe
chosen
Sumbe is a coastal city in western Angola that serves as an important administrative and economic center in the Cuanza Sul region.
-
B.
Susima
Susima was an ancient Indian prince of the Maurya dynasty, known primarily as the elder son of Emperor Bindusara and rival claimant to the throne against his brother Ashoka.
-
C.
Kumiya
Kumiya is a Berber tribal group historically associated with the rise and support base of the Almohad leader Abd al-Mu’min in the Maghreb.
-
D.
Sannomiya
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
-
E.
Susuman
Susuman is a small mining town in Russia's Magadan Oblast, located in the remote Russian Far East.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a6b4388190b83bdecb217b9b18 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:50 a.m.