Triple
T11270348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoku Nihongi |
E266794
|
entity |
| Predicate | coversYearsTo |
P98851
|
FINISHED |
| Object | 791 |
—
|
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: 791 | Statement: [Shoku Nihongi, coversYearsTo, 791]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversYearsTo Context triple: [Shoku Nihongi, coversYearsTo, 791]
-
A.
focusesOnYears
Indicates that something is primarily concerned with or directed toward specific years or time periods.
-
B.
appliesInYears
Indicates that something (such as a rule, condition, or effect) is valid, relevant, or in force during specific years.
-
C.
durationInYears
Indicates the length of time associated with something, measured in whole or fractional years.
-
D.
countsYearsFrom
Indicates a temporal relationship where the number of years is measured starting from a specified reference point or event.
-
E.
type1Years
Indicates the number of years associated with being in or under a specified "type1" classification or status.
- F. None of above. chosen
Provenance (4 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.