Triple
T6409342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Imperial Crown |
E127665
|
entity |
| Predicate | madeInYear |
P30140
|
FINISHED |
| Object | 1762 |
—
|
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: 1762 | Statement: [Great Imperial Crown, madeInYear, 1762]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeInYear Context triple: [Great Imperial Crown, madeInYear, 1762]
-
A.
compilationYear
Indicates the year in which a work, collection, or set of materials was compiled or assembled into its final form.
-
B.
yearOfManufacture
chosen
Indicates the specific calendar year in which an item was produced or manufactured.
-
C.
deploymentYear
Indicates the calendar year in which an entity (such as a system, product, or resource) was first put into active use or operation.
-
D.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
E.
commissionedYear
Indicates the year in which something (typically a work, project, or item) was formally ordered, authorized, or put into production.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cdf25881908d42a5d979637ad6 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:41 p.m.