Triple
T3024391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Nigeria |
E82540
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Calabar Port |
E87286
|
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: Calabar Port | Statement: [Southern Nigeria, contains, Calabar Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calabar Port Context triple: [Southern Nigeria, contains, Calabar Port]
-
A.
Calabar
chosen
Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
-
B.
Yenagoa
Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
-
C.
Benin City
Benin City is a major urban center in southern Nigeria, historically known as the capital of the ancient Benin Kingdom and renowned for its rich cultural heritage and bronze artworks.
-
D.
Ekpoma
Ekpoma is a prominent town in southern Nigeria known for hosting Ambrose Alli University and serving as an important educational and commercial center in Edo State.
-
E.
Port Harcourt
Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abac0288190a30b42674eea501f |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f86995c88190bdf3af6f96f7a195 |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3 p.m.