Triple
T16948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Constitution |
E337
|
entity |
| Predicate | tookEffectOn |
P288
|
FINISHED |
| Object | 1789-03-04 |
—
|
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: 1789-03-04 | Statement: [United States Constitution, tookEffectOn, 1789-03-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookEffectOn Context triple: [United States Constitution, tookEffectOn, 1789-03-04]
-
A.
wasSupersededBy
Indicates that one entity has been replaced or made obsolete by another entity that takes over its role or function.
-
B.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
C.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
D.
performsAt
Indicates that an entity carries out or presents a performance at a specific location, venue, or event.
-
E.
startDate
chosen
Indicates the point in time when an event, state, or relationship begins.
- F. None of above.
Provenance (3 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a241ea1ea081908e8a81ca97531ba5 |
completed | Feb. 28, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69a23fec1fe8819080da6f2c745dc8fd |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.