Triple
T34681080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Chinese–English Dictionary (Herbert Giles, 1892) |
E890623
|
entity |
| Predicate | timePeriodOfUseAsStandard |
P173558
|
FINISHED |
| Object | late 19th century |
—
|
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: late 19th century | Statement: [A Chinese–English Dictionary (Herbert Giles, 1892), timePeriodOfUseAsStandard, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfUseAsStandard Context triple: [A Chinese–English Dictionary (Herbert Giles, 1892), timePeriodOfUseAsStandard, late 19th century]
-
A.
hasTypicalUseTime
Indicates the usual or expected duration or time period during which something is commonly used or in operation.
-
B.
timeframeOfUse
chosen
Indicates the period or duration during which something is intended, allowed, or expected to be used.
-
C.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
D.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
E.
recommendedUsageTime
Indicates the period of time for which something is advised or intended to be used.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 2:05 a.m.