Triple
T29623433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artist Point (Washington) |
E755062
|
entity |
| Predicate | roadClosedIn |
P167523
|
FINISHED |
| Object | winter |
—
|
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: winter | Statement: [Artist Point (Washington), roadClosedIn, winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadClosedIn Context triple: [Artist Point (Washington), roadClosedIn, winter]
-
A.
roadClosedReason
Indicates the reason why a particular road is closed.
-
B.
closedToAllTraffic
Indicates that the subject is not accessible or usable by any type of traffic.
-
C.
closedToThroughTraffic
Indicates that a route or area is not accessible for general passage and cannot be used as a through route for traffic.
-
D.
closedToTrafficDuringRepairs
Indicates that an entity (such as a road or route) is not accessible for traffic for the duration of repair or maintenance work.
-
E.
roadAffected
Indicates that a road is impacted or disrupted by a condition, event, or action, such as construction, accidents, or adverse weather.
- F. None of above. chosen
Provenance (4 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66e26eda081908c514b28a814b250 |
completed | May 2, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:36 p.m.