Triple
T17322153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commissioner to the United States for the Republic of Texas |
E420586
|
entity |
| Predicate | timeframeApproximateStart |
P48368
|
FINISHED |
| Object | early 1830s |
—
|
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 1830s | Statement: [Commissioner to the United States for the Republic of Texas, timeframeApproximateStart, early 1830s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeframeApproximateStart Context triple: [Commissioner to the United States for the Republic of Texas, timeframeApproximateStart, early 1830s]
-
A.
timeframeApproximate
Indicates that the time period associated with an event or relation is not exact but only roughly or loosely specified.
-
B.
timeStartApprox
chosen
Indicates that the associated event or state begins at an approximate, rather than exact, point in time.
-
C.
endTimeApproximate
Indicates that the recorded end time of an event or action is not exact but an approximate value.
-
D.
estimatedStartDate
Indicates the date on which something is expected or planned to begin, based on current information or projections.
-
E.
timePeriodEndApprox
Indicates that the associated time period ends at an approximate, rather than exact, point in time.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d01e2c8190a358dace420d4575 |
completed | April 19, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.