Triple
T9157278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Luther King Jr. Day |
E219736
|
entity |
| Predicate | lastStateRecognitionYear |
P86834
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [Martin Luther King Jr. Day, lastStateRecognitionYear, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastStateRecognitionYear Context triple: [Martin Luther King Jr. Day, lastStateRecognitionYear, 2000]
-
A.
lastAppearanceYear
Indicates the calendar year in which an entity made its most recent appearance.
-
B.
recognitionDate
Indicates the date on which an entity, status, or achievement is formally acknowledged or officially recognized.
-
C.
lastDelimitationYear
Indicates the year in which the most recent boundary or delimitation of the entity was officially established or updated.
-
D.
IOCRecognitionYear
Indicates the year in which an entity received official recognition from the International Olympic Committee (IOC).
-
E.
lastSittingYear
Indicates the specific year in which an entity most recently held a sitting, session, or term.
- 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.