Triple
T16340129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yokkaichi |
E396774
|
entity |
| Predicate | environmentalIssuePeriod |
P95153
|
FINISHED |
| Object | 1950s–1970s |
—
|
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: 1950s–1970s | Statement: [Yokkaichi, environmentalIssuePeriod, 1950s–1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentalIssuePeriod Context triple: [Yokkaichi, environmentalIssuePeriod, 1950s–1970s]
-
A.
environmentalIssue
Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
-
B.
emissionsEra
chosen
Indicates the time period or era during which the emissions associated with an entity occur or are recorded.
-
C.
environmentalIssueAddressed
Indicates that an action, policy, or entity is aimed at tackling, mitigating, or resolving a specific environmental problem or concern.
-
D.
shareEnvironmentalIssues
Indicates that two or more entities are affected by, involved in, or concerned with the same environmental problems or challenges.
-
E.
UNEPReportYear
Indicates the year in which a report associated with the United Nations Environment Programme (UNEP) was issued or is applicable.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da09dcf48190b6fdd14b1812c56a |
completed | April 18, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.