Triple
T4258931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humboldt Parkway |
E96051
|
entity |
| Predicate | hasCurrentIssues |
P21382
|
FINISHED |
| Object | debate over restoration of parkway |
—
|
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: debate over restoration of parkway | Statement: [Humboldt Parkway, hasCurrentIssues, debate over restoration of parkway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentIssues Context triple: [Humboldt Parkway, hasCurrentIssues, debate over restoration of parkway]
-
A.
currentIssue
chosen
Indicates that an entity is the presently relevant or active issue in a given context or discussion.
-
B.
modernIssue
Indicates that the subject is a contemporary or current-day issue affecting the object or broader context.
-
C.
currentSeriesIssueStart
Indicates that something marks the starting point or first issue of the current series.
-
D.
numberOfIssues
Indicates the quantity of issues associated with a given entity or context.
-
E.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7ec4508190a5067f1112ac7dca |
completed | March 12, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.