Triple
T23211663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest street numbering system of Washington, D.C. |
E580608
|
entity |
| Predicate | usesOddEvenConvention |
P151378
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Northwest street numbering system of Washington, D.C., usesOddEvenConvention, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesOddEvenConvention Context triple: [Northwest street numbering system of Washington, D.C., usesOddEvenConvention, true]
-
A.
isOdd
Indicates that a given number has a remainder of 1 when divided by 2, i.e., it is not evenly divisible by 2.
-
B.
hasSignConvention
Indicates that a particular system, quantity, or representation follows a specified rule for assigning positive and negative signs.
-
C.
hasParity
Indicates that two entities share the same parity property (e.g., both even or both odd) with respect to a specified attribute or value.
-
D.
requiresParityBetween
Indicates that a balanced or matching condition must hold between two entities, such that their relevant attributes or quantities share the same parity or equivalence.
-
E.
isEvenOrOdd
Indicates that an entity is classified as either even or odd with respect to a numerical parity property.
- 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.