Triple
T2542019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Efik people |
E57805
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | Old Calabar |
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: Old Calabar | Statement: [Efik people, majorTown, Old Calabar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Calabar Context triple: [Efik people, majorTown, Old Calabar]
-
A.
Jacotey
Jacotey is the surname of French pop singer Alizée, known for her early-2000s hit "Moi... Lolita."
-
B.
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.
-
C.
Elmina
Elmina is a historic coastal town in present-day Ghana, best known for its role in the transatlantic slave trade and its prominent Elmina Castle.
-
D.
Elmina Castle
Elmina Castle is a historic coastal fortress in present-day Ghana that became one of the most significant hubs of the transatlantic slave trade.
-
E.
Coalhouse Fort
Coalhouse Fort is a Victorian-era coastal artillery fort on the Thames Estuary in East Tilbury, Essex, built to defend London and the river approaches.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2bd92f88190bf100c799f62210c |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d046430819095605b8a8fd987d5 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.