Triple
T35647290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confederado territory |
E1030044
|
entity |
| Predicate | timePeriodSimulation |
P78642
|
FINISHED |
| Object | 19th-century American frontier |
—
|
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: 19th-century American frontier | Statement: [Confederado territory, timePeriodSimulation, 19th-century American frontier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodSimulation Context triple: [Confederado territory, timePeriodSimulation, 19th-century American frontier]
-
A.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
B.
timePeriodModeled
chosen
Indicates that a given time period is represented, simulated, or otherwise captured within a particular model or modeling framework.
-
C.
timePeriodFormulated
Indicates the time period during which something (such as a concept, theory, or plan) was formulated or developed.
-
D.
timePeriodMechanic
Indicates a temporal relationship in which a particular mechanic, process, or method is valid, active, or applicable during a specified time period.
-
E.
timePeriodApproximation
Indicates that the associated time period is an estimate or approximation rather than an exact, precise value.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.