Triple
T26861743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Guyanese |
E676347
|
entity |
| Predicate | arrivalPeriodEnd |
P35259
|
FINISHED |
| Object | early 1900s |
—
|
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: early 1900s | Statement: [Chinese Guyanese, arrivalPeriodEnd, early 1900s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrivalPeriodEnd Context triple: [Chinese Guyanese, arrivalPeriodEnd, early 1900s]
-
A.
timePeriodEndApprox
chosen
Indicates that the associated time period ends at an approximate, rather than exact, point in time.
-
B.
endAt
Indicates that an event, process, or state concludes or terminates at a specified time, location, or condition.
-
C.
focusPeriodEnd
Indicates the point in time at which a specified focus period or interval concludes.
-
D.
typicallyEndsAt
Indicates that an event, process, or activity most commonly or usually concludes at a particular time, place, or state.
-
E.
associatedPeriodEnd
Indicates the ending point or final date of the time period with which something is associated.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 5:25 a.m.