Triple
T23211660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest street numbering system of Washington, D.C. |
E580608
|
entity |
| Predicate | houseNumberingIncreasesWithDistanceFrom |
P151376
|
FINISHED |
| Object | U.S. Capitol |
—
|
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: U.S. Capitol | Statement: [Northwest street numbering system of Washington, D.C., houseNumberingIncreasesWithDistanceFrom, U.S. Capitol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: houseNumberingIncreasesWithDistanceFrom Context triple: [Northwest street numbering system of Washington, D.C., houseNumberingIncreasesWithDistanceFrom, U.S. Capitol]
-
A.
addressIncreasePerMile
Indicates the amount by which an address value changes for each mile of distance.
-
B.
houseNumber
Indicates that an entity has a specific house or street number as part of its address.
-
C.
yardNumber
Indicates the identifying number assigned to a specific yard or yard-related unit within a larger system or location.
-
D.
boroughNumber
Indicates the numerical identifier assigned to a specific borough within a larger administrative or municipal division.
-
E.
hasStreetNumberingSystem
Indicates that a location or area uses an organized system for assigning numbers to buildings or addresses along its streets.
- F. None of above. chosen
Provenance (4 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191620378819096362252c3b819b6 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:07 p.m.