Triple
T29821700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Woodland |
E757260
|
entity |
| Predicate | wasStandardIssueUntil |
P96453
|
FINISHED |
| Object | early 2000s |
—
|
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 2000s | Statement: [U.S. Woodland, wasStandardIssueUntil, early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasStandardIssueUntil Context triple: [U.S. Woodland, wasStandardIssueUntil, early 2000s]
-
A.
becameStandardIssueByYear
Indicates that an item started being officially issued as standard equipment by a specified year.
-
B.
wasIssueAt
Indicates that a particular issue existed or occurred at a specific time, place, or contextual point.
-
C.
wasProprietaryUntil
Indicates that something was owned or controlled as proprietary (not publicly available or open) up to a specified point in time.
-
D.
standardIssueUntil
chosen
Indicates the time or condition up to which something is considered standard issue or officially supplied.
-
E.
isOriginalIssueOf
Indicates that one item is the first or primary issue/edition from which another related issue or edition derives.
- 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_69f2245701c88190ad42415a0956c4ed |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f675684dbc8190ab0b03d87c51b14a |
completed | May 2, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:29 p.m.