Triple
T29944413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleutians East Census Area |
E760592
|
entity |
| Predicate | hasLowRoadConnectivity |
P68751
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Aleutians East Census Area, hasLowRoadConnectivity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowRoadConnectivity Context triple: [Aleutians East Census Area, hasLowRoadConnectivity, true]
-
A.
hasLimitedRoadAccess
chosen
Indicates that an entity can only be reached by a small number of roads, restricted routes, or otherwise constrained vehicular access.
-
B.
hasRoadNetworkQuality
Indicates the assessed level or condition of the road network associated with an entity.
-
C.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
-
D.
hasRoadNetworkType
Indicates the type or classification of road network associated with or present in an entity.
-
E.
hasRoadConnectionRegion
Indicates that there is a road-based transportation link connecting one region to another.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 29, 2026, 6:23 p.m.