Triple
T36001459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi denaturalization law of 1950 |
E1041142
|
entity |
| Predicate | timePeriodOfMajorImpact |
P16254
|
FINISHED |
| Object | early 1950s |
—
|
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 1950s | Statement: [Iraqi denaturalization law of 1950, timePeriodOfMajorImpact, early 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfMajorImpact Context triple: [Iraqi denaturalization law of 1950, timePeriodOfMajorImpact, early 1950s]
-
A.
timePeriodOfMajorDestruction
Indicates the time span during which a major destructive event affecting the subject occurred.
-
B.
timePeriodOfMajorImportance
chosen
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
C.
timePeriodInfluence
Indicates that one time period has an influence or shaping effect on another time period or on events occurring within it.
-
D.
periodOfMajorRemains
Indicates the historical time period during which the primary surviving remains or artifacts associated with something were created or are dated.
-
E.
timeHorizonOfImpact
Indicates the span of time over which an action, event, or factor is expected to produce its effects or consequences.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 3, 2026, 4:07 p.m.