Triple
T5541588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinatown (Gallery Place area) |
E145301
|
entity |
| Predicate | streetGridCenteredOn |
P11555
|
FINISHED |
| Object | 7th Street NW |
—
|
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: 7th Street NW | Statement: [Chinatown (Gallery Place area), streetGridCenteredOn, 7th Street NW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetGridCenteredOn Context triple: [Chinatown (Gallery Place area), streetGridCenteredOn, 7th Street NW]
-
A.
streetGridOrientation
Indicates the predominant directional alignment or pattern of streets within a given area or city layout.
-
B.
hasStreetLayoutCenteredOn
chosen
Indicates that the spatial organization or pattern of streets in one place is arranged with a particular feature or location as its central focus or reference point.
-
C.
streetLocation
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
-
D.
locatedBetweenStreets
Indicates that something is situated between two specified streets, with its position bounded or defined by those streets.
-
E.
streetPlanBy
Indicates that a street or road layout was designed, organized, or planned by a particular agent or authority.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc66cc08190b9b2a62098ecbdb1 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.