Triple
T31379186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington congressional delegation |
E800397
|
entity |
| Predicate | compositionCanInclude |
P143902
|
FINISHED |
| Object | Democratic Party members |
—
|
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: Democratic Party members | Statement: [Washington congressional delegation, compositionCanInclude, Democratic Party members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compositionCanInclude Context triple: [Washington congressional delegation, compositionCanInclude, Democratic Party members]
-
A.
compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
-
B.
composedIn
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
-
C.
composéDe
chosen
Indicates that something is made up of, or consists of, one or more constituent parts.
-
D.
composedTo
Indicates that one entity created or authored another entity, typically a work such as a piece of music, writing, or art.
-
E.
alsoComposedWith
Indicates that something is created or formed together with one or more additional components, highlighting a joint or complementary composition relationship.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 29, 2026, 9:18 p.m.