Triple
T22694088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Carolina Highway Historical Marker Program |
E561124
|
entity |
| Predicate | markerPlacement |
P109072
|
FINISHED |
| Object | along state highways |
—
|
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: along state highways | Statement: [North Carolina Highway Historical Marker Program, markerPlacement, along state highways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: markerPlacement Context triple: [North Carolina Highway Historical Marker Program, markerPlacement, along state highways]
-
A.
marksLocationOf
chosen
Indicates that one entity serves as a marker, sign, or indicator specifying the location of another entity.
-
B.
labelLocation
Indicates that a label or identifier is associated with a specific spatial or geographic location.
-
C.
logoPlacement
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
-
D.
marksMeetingPointOf
Indicates that something designates or identifies the specific location where two or more entities meet or converge.
-
E.
canonicalPlacement
Indicates the standard or preferred position or arrangement of one entity relative to another within a defined structure or system.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789c6ae481908975b7d27e7624ac |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:14 p.m.