Triple
T12532667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington, D.C. |
E299607
|
entity |
| Predicate | mayorTermIncludes |
P23996
|
FINISHED |
| Object | Joe Biden presidency |
—
|
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: Joe Biden presidency | Statement: [Washington, D.C., mayorTermIncludes, Joe Biden presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayorTermIncludes Context triple: [Washington, D.C., mayorTermIncludes, Joe Biden presidency]
-
A.
mayorTerm
chosen
Indicates that one entity serves as the mayor of another entity (typically a city or municipality) during a specified term or time period.
-
B.
hasTerm
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
C.
containsMostOf
Indicates that one entity includes the majority (but not necessarily all) of the substance, elements, or components of another entity.
-
D.
membersTermIs
Indicates that a member or group of members is associated with, or serves for, a specific term or period of office.
-
E.
includesMatch
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.