Triple
T9157276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King Jr. Day |
E219736
|
entity |
| Predicate | stateAdoption |
P86832
|
FINISHED |
| Object | gradually adopted by all 50 states |
—
|
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: gradually adopted by all 50 states | Statement: [Martin Luther King Jr. Day, stateAdoption, gradually adopted by all 50 states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateAdoption Context triple: [Martin Luther King Jr. Day, stateAdoption, gradually adopted by all 50 states]
-
A.
states
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
-
B.
statehoodStatus
Indicates the legal or political condition of an entity regarding whether, how, or to what extent it is recognized or functions as a state.
-
C.
stateRuled
Indicates that a particular state is governed or controlled by a specified ruler or ruling entity.
-
D.
primaryStates
Indicates that certain states or conditions are the main or most fundamental ones within a given context or system.
-
E.
respondentState
Indicates the state or jurisdiction in which the respondent is located, resides, or is legally associated.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d6b9ac819094efe12c1ed67ecf |
completed | April 1, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69cc6605c6808190a30d92da006206ac |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc668ad3d881908a8a93a6a1d553e4 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 7:21 p.m.