Triple
T4658068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina Highway 54 |
E102456
|
entity |
| Predicate | traversesArea |
P34612
|
FINISHED |
| Object | urban areas |
—
|
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: urban areas | Statement: [North Carolina Highway 54, traversesArea, urban areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traversesArea Context triple: [North Carolina Highway 54, traversesArea, urban areas]
-
A.
passesThroughArea
chosen
Indicates that an entity moves or extends through the spatial region defined by another entity or area.
-
B.
alsoTraverses
Indicates that a route, path, or entity passes through or crosses an additional location or segment beyond its primary traversal.
-
C.
enclosesArea
Indicates that one entity surrounds and contains a bounded region of space occupied or defined by another.
-
D.
navigationArea
Indicates that a specified region or space is designated for movement, routing, or pathfinding within an environment.
-
E.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63271a548190bd9662b69a45d9a5 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.