Triple
T2348753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Columbia statehood referendum, 2016 |
E47394
|
entity |
| Predicate | supportPercentage |
P38650
|
FINISHED |
| Object | about 86 percent |
—
|
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: about 86 percent | Statement: [District of Columbia statehood referendum, 2016, supportPercentage, about 86 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportPercentage Context triple: [District of Columbia statehood referendum, 2016, supportPercentage, about 86 percent]
-
A.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
-
B.
numberOfSupporters
Indicates the quantity of entities that provide backing, endorsement, or support to a given entity or proposition.
-
C.
supportsValue
Indicates that one entity provides justification, evidence, or backing for the truth, relevance, or appropriateness of a particular value associated with another entity.
-
D.
supportedSide
Indicates that one entity backed, favored, or provided assistance to a particular side or party in a conflict, dispute, or competition.
-
E.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcb7ebb708190ba7edffee3c45d8b |
completed | March 7, 2026, 6:53 a.m. |
Created at: March 4, 2026, 7:54 p.m.