Triple
T27361398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest (NW) Washington, D.C. |
E685834
|
entity |
| Predicate | oneOfFourQuadrantsOf |
P26521
|
FINISHED |
| Object | Washington, D.C. |
—
|
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: Washington, D.C. | Statement: [Northwest (NW) Washington, D.C., oneOfFourQuadrantsOf, Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfFourQuadrantsOf Context triple: [Northwest (NW) Washington, D.C., oneOfFourQuadrantsOf, Washington, D.C.]
-
A.
quadrant
Indicates the specific quarter or sector of a larger two-dimensional space or area in which an entity is located or classified.
-
B.
oneOfFourQuartersOf
chosen
Indicates that one entity constitutes exactly one of the four equal parts (quarters) into which another entity is divided.
-
C.
quadrantDivisionCenter
Indicates the central point from which a space or area is divided into four quadrants.
-
D.
hasQuadrants
Indicates that something is divided into four distinct sections or regions, typically arranged as quadrants.
-
E.
quadrantCrossType
Indicates the manner or pattern in which something moves or transitions from one quadrant or sector to another.
- 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 11:54 a.m.