Triple
T34187508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King Jr. Boulevard |
E877001
|
entity |
| Predicate | typicalRoadFunction |
P161230
|
FINISHED |
| Object | major arterial road |
—
|
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: major arterial road | Statement: [Martin Luther King Jr. Boulevard, typicalRoadFunction, major arterial road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRoadFunction Context triple: [Martin Luther King Jr. Boulevard, typicalRoadFunction, major arterial road]
-
A.
roadsideFunction
Indicates that something serves a specific purpose or role related to the use, support, or operation of a roadside area.
-
B.
rangeRoad
Indicates that a road or route extends across or through a specified geographic range or area.
-
C.
roadMode
Indicates the mode or type of transportation being used on a road within the described relationship or action.
-
D.
onRoad
Indicates that one entity is located on, traveling along, or otherwise situated upon a road.
-
E.
roadTransportFunction
chosen
Indicates a functional relationship in which something serves or is used for the transport of people or goods via roads.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:55 a.m.