Triple
T1776195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of New Jersey |
E38984
|
entity |
| Predicate | featuresYearOnScroll |
P32289
|
FINISHED |
| Object | 1776 |
—
|
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: 1776 | Statement: [Flag of New Jersey, featuresYearOnScroll, 1776]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresYearOnScroll Context triple: [Flag of New Jersey, featuresYearOnScroll, 1776]
-
A.
focusesOnYears
Indicates that something is primarily concerned with or directed toward specific years or time periods.
-
B.
featuresReimaginedVersionOf
Indicates that something includes or presents a newly interpreted or updated version of another existing work or element.
-
C.
featuresStyle
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
-
D.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an entity.
-
E.
effectiveYear
Indicates the calendar year in which something (such as a rule, status, or agreement) becomes valid or takes effect.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.