Triple
T35882171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States (during early Iran–Iraq War period) |
E1037539
|
entity |
| Predicate | hasTimeSpanApproximate |
P125927
|
FINISHED |
| Object | circa 1980–1984 |
—
|
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: circa 1980–1984 | Statement: [United States (during early Iran–Iraq War period), hasTimeSpanApproximate, circa 1980–1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeSpanApproximate Context triple: [United States (during early Iran–Iraq War period), hasTimeSpanApproximate, circa 1980–1984]
-
A.
hasApproximateDuration
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
-
B.
timePeriodApproximation
Indicates that the associated time period is an estimate or approximation rather than an exact, precise value.
-
C.
activePeriodApproximate
Indicates that the time span during which an entity was active is known only approximately rather than as precise dates.
-
D.
timeframeApproximate
chosen
Indicates that the time period associated with an event or relation is not exact but only roughly or loosely specified.
-
E.
timeSpanIncludes
Indicates that one time span fully contains or covers the entire duration of another time span.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 3, 2026, 4:06 p.m.