Triple
T21092160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Guinea Creoles |
E519662
|
entity |
| Predicate | sharesFeatureWithMembers |
P5696
|
FINISHED |
| Object | similar phonological systems |
—
|
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: similar phonological systems | Statement: [Gulf of Guinea Creoles, sharesFeatureWithMembers, similar phonological systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesFeatureWithMembers Context triple: [Gulf of Guinea Creoles, sharesFeatureWithMembers, similar phonological systems]
-
A.
sharesMembersWith
Indicates that two groups or collections have one or more members in common.
-
B.
sharesFeatureWith
chosen
Indicates that two entities have at least one common attribute, property, or characteristic in common.
-
C.
sharesAuthorWith
Indicates that two entities have at least one author in common.
-
D.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
E.
shareWith
Indicates that something is given, disclosed, or made accessible by one entity to another entity.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094f6ebc8190a90b014755a9d4a6 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:51 p.m.