Triple
T537850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Harcourt |
E12365
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port Harcourt Port Complex |
E12365
|
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: Port Harcourt Port Complex | Statement: [Port Harcourt, hasPort, Port Harcourt Port Complex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Harcourt Port Complex Context triple: [Port Harcourt, hasPort, Port Harcourt Port Complex]
-
A.
Port Harcourt
chosen
Port Harcourt is a major oil and industrial city in southern Nigeria and the capital of Rivers State.
-
B.
Apapa Port
Apapa Port is Nigeria’s largest and busiest seaport complex, serving as a major gateway for the country’s international maritime trade in Lagos.
-
C.
Yenagoa
Yenagoa is the capital city of Bayelsa State in southern Nigeria, located in the oil-rich Niger Delta region.
-
D.
Port of Muanda
The Port of Muanda is a coastal seaport in the Democratic Republic of the Congo that serves as a key maritime outlet near the Atlantic terminus of the Congo River.
-
E.
Ijaw
The Ijaw are one of the largest ethnic groups in the Niger Delta region of Nigeria, known for their riverine culture, fishing traditions, and significant role in the country's oil-producing areas.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496dc0aac8190afb75ec6c47a1d2d |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c03256a08190955f8e8d5cda4b08 |
completed | March 1, 2026, 10:39 p.m. |
Created at: March 1, 2026, 7:32 p.m.