Triple
T31811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeton, New Jersey, United States |
E634
|
entity |
| Predicate | temporaryCapitalYear |
P2382
|
FINISHED |
| Object | 1783 |
—
|
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: 1783 | Statement: [Princeton, New Jersey, United States, temporaryCapitalYear, 1783]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporaryCapitalYear Context triple: [Princeton, New Jersey, United States, temporaryCapitalYear, 1783]
-
A.
servedAsUSCapitalUntil
Indicates that a place functioned as the capital of the United States up to a specified end date.
-
B.
stateCapitalSince
Indicates that one location has served as the official capital of a state continuously from a specified starting time.
-
C.
capitalCityEstablished
Indicates that a particular city was officially designated or founded as the capital of a political or administrative entity.
-
D.
relocationYear
Indicates the year in which an entity was moved or transferred from one location to another.
-
E.
year
Indicates the specific calendar year associated with an entity, event, or fact.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a249eb52a08190916849b44bd9d68d |
completed | Feb. 28, 2026, 1:50 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.