Triple
T3077319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagos State |
E64168
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Apapa Port |
E56227
|
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: Apapa Port | Statement: [Lagos State, hasPort, Apapa Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apapa Port Context triple: [Lagos State, hasPort, Apapa Port]
-
A.
Apapa Port
chosen
Apapa Port is Nigeria’s largest and busiest seaport complex, serving as a major gateway for the country’s international maritime trade in Lagos.
-
B.
Bata Port
Bata Port is a major seaport in Bata, Equatorial Guinea, serving as an important hub for the country’s maritime trade and transportation.
-
C.
Darwin Port
Darwin Port is the primary commercial seaport in Australia’s Northern Territory, serving as a key hub for regional trade, logistics, and maritime operations.
-
D.
Port of San-Pédro
The Port of San-Pédro is a major seaport in southwestern Côte d'Ivoire that serves as a key hub for the export of commodities such as cocoa and timber.
-
E.
Ouidah
Ouidah is a coastal city in Benin historically known as a major center of the transatlantic slave trade and for its rich Vodun (Voodoo) cultural heritage.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1a6f6148190ae5cd6e45eda9006 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2035c404881908635c8514c8c1399 |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3:02 p.m.