Triple
T12653998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vai script |
E302235
|
entity |
| Predicate | approximateCreationDate |
P13262
|
FINISHED |
| Object | c. 1830s |
—
|
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: c. 1830s | Statement: [Vai script, approximateCreationDate, c. 1830s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateCreationDate Context triple: [Vai script, approximateCreationDate, c. 1830s]
-
A.
approximateDepictionDate
Indicates the estimated or inferred date when a depiction was created, rather than a precise, confirmed date.
-
B.
dateApproximate
Indicates that the associated date is not exact but estimated or approximate rather than precisely known.
-
C.
estimatedYearOfCreation
chosen
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
D.
createdAt
Indicates the date and time at which an entity was initially created or came into existence.
-
E.
relocationApproximateDate
Indicates an approximate or estimated date when a relocation or move took place.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.