Triple
T7878755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tema |
E182923
|
entity |
| Predicate | portRankInGhana |
P20612
|
FINISHED |
| Object | one of the largest seaports in Ghana |
—
|
LITERAL 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: one of the largest seaports in Ghana | Statement: [Tema, portRankInGhana, one of the largest seaports in Ghana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portRankInGhana Context triple: [Tema, portRankInGhana, one of the largest seaports in Ghana]
-
A.
statusInGhana
Indicates the legal, social, or official standing or condition an entity holds within the context of Ghana.
-
B.
economyRankInAfricaByGDP
Indicates the relative position of an African country's economy when ordered by the size of its Gross Domestic Product (GDP) compared to other African countries.
-
C.
portRank
chosen
Indicates the relative importance or hierarchical ranking assigned to a port within a given system or context.
-
D.
countryRanking
Indicates the relative position or rank assigned to a country within a specific ordered list or comparative evaluation.
-
E.
hasAreaRankInNigeria
Indicates that one entity holds a specific rank in terms of area size within the context of Nigeria.
- F. None of above.
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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bd64e481909f699e7dd2818b8f |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:57 p.m.