Triple
T36382819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North King Street |
E896093
|
entity |
| Predicate | isDowntownThoroughfareOf |
P182184
|
FINISHED |
| Object | Wilmington, Delaware |
—
|
NE NERFINISHED |
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: Wilmington, Delaware | Statement: [North King Street, isDowntownThoroughfareOf, Wilmington, Delaware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDowntownThoroughfareOf Context triple: [North King Street, isDowntownThoroughfareOf, Wilmington, Delaware]
-
A.
isDowntownEndpointOf
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
-
B.
isThoroughfareFor
chosen
Indicates that something serves as a route or passageway used for travel or transportation between places.
-
C.
isMajorCommercialStreetOf
Indicates that a street serves as a primary, heavily used route for commercial activity within a specified area or locality.
-
D.
isDowntownAxis
Indicates that something serves as or lies along the main central axis of a downtown area.
-
E.
isCentralPoliticalThoroughfareOf
Indicates that a road or street serves as the main political route or corridor within a specified area, typically hosting key government or political institutions and activities.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:10 p.m.