Triple
T9806563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Dakota’s at-large congressional district |
E237967
|
entity |
| Predicate | hasAtLargeFormatSince |
P90080
|
FINISHED |
| Object | 1963 |
—
|
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: 1963 | Statement: [North Dakota’s at-large congressional district, hasAtLargeFormatSince, 1963]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAtLargeFormatSince Context triple: [North Dakota’s at-large congressional district, hasAtLargeFormatSince, 1963]
-
A.
hasLargeScale
Indicates that an entity operates, exists, or is implemented at a large or extensive scale relative to typical or baseline cases.
-
B.
hasExhibitFormat
Indicates the specific format or medium in which an exhibit is presented or made available.
-
C.
hasLargePresenceIn
Indicates that an entity maintains a significant or dominant level of activity, influence, or representation within a specified location, domain, or context.
-
D.
hasAwardedFormat
Indicates that one entity has granted or assigned a particular award format or type to another entity.
-
E.
representedSince
Indicates that one entity has been acting as a representative or agent for another entity continuously from a specified starting time.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7cb9588190953a063cb7b9e29e |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.