Triple
T12587914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bights of Benin and Biafra |
E300515
|
entity |
| Predicate | terminologyUsage |
P16497
|
FINISHED |
| Object | used in historical nautical charts |
—
|
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: used in historical nautical charts | Statement: [Bights of Benin and Biafra, terminologyUsage, used in historical nautical charts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminologyUsage Context triple: [Bights of Benin and Biafra, terminologyUsage, used in historical nautical charts]
-
A.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
B.
terminologyNote
Indicates that there is an explanatory note or comment clarifying the use, meaning, or nuances of a specific term in the relationship.
-
C.
linguisticUsage
Indicates how a linguistic form, expression, or construction is used in language, such as its typical context, function, or register.
-
D.
officialTerminology
Indicates that the associated term is the formally recognized or standard expression used in an official or authoritative context for a given concept or entity.
-
E.
usedTerm
chosen
Indicates that one entity employed, referenced, or applied a particular term in some context.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95416cbd88190b2c65196162349bc |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:05 p.m.