Triple
T320488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 95 near Newport, Maine |
E6402
|
entity |
| Predicate | pavementMarkedFor |
P5686
|
FINISHED |
| Object | all-weather, year-round operation |
—
|
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: all-weather, year-round operation | Statement: [Interstate 95 near Newport, Maine, pavementMarkedFor, all-weather, year-round operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pavementMarkedFor Context triple: [Interstate 95 near Newport, Maine, pavementMarkedFor, all-weather, year-round operation]
-
A.
marks
Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
-
B.
parkSection
Indicates a relationship where a specific area or subsection belongs to, is contained within, or is designated as part of a larger park.
-
C.
roadSignageIndicates
Indicates that a piece of road signage conveys, displays, or communicates specific information, instructions, or warnings about road conditions or regulations.
-
D.
hasMarker
Indicates that one entity possesses, is associated with, or is identified by a specific marker.
-
E.
markType
chosen
Indicates the specific category or kind of mark associated with or applied to an 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea8047c08190872c875e00f6e7dd |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e946607081909c8b97473aaf8d1b |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.