Triple
T17700326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akansea |
E441279
|
entity |
| Predicate | nameRecordedIn |
P122453
|
FINISHED |
| Object | French colonial records |
—
|
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: French colonial records | Statement: [Akansea, nameRecordedIn, French colonial records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameRecordedIn Context triple: [Akansea, nameRecordedIn, French colonial records]
-
A.
namedForNotablePersonFrom
Indicates that one entity is named in honor of a notable person who originates from another specified place or group.
-
B.
mostFamouslyRecordedBy
Indicates that an item (such as a work, song, or performance) is best known or most widely associated with having been recorded by a particular entity.
-
C.
areRecordedBy
chosen
Indicates that an event, observation, or piece of information is captured or documented by a specific recording agent, device, or process.
-
D.
recordedByNationality
Indicates that an instance of recording activity is associated with the nationality of the person or entity that performed the recording.
-
E.
hasNotablePersonWithGivenName
Indicates that there exists a notable person associated with the subject whose given (first) name matches the specified value.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715ae1fc81908438a1bba970c6ec |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde3673c8190a889e14ba1f07dc1 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 10:04 a.m.