Triple
T670951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House simple resolution |
E12968
|
entity |
| Predicate | effectDuration |
P18280
|
FINISHED |
| Object | may be limited to a Congress or continue as a standing rule |
—
|
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: may be limited to a Congress or continue as a standing rule | Statement: [House simple resolution, effectDuration, may be limited to a Congress or continue as a standing rule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectDuration Context triple: [House simple resolution, effectDuration, may be limited to a Congress or continue as a standing rule]
-
A.
visibilityDuration
Indicates the length of time for which something remains visible or observable.
-
B.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
C.
durationUntil
Indicates the length of time remaining from a given starting point until a specified future event or state occurs.
-
D.
interruptionDuration
Indicates the length of time for which an ongoing activity, process, or state is temporarily halted or disrupted.
-
E.
missionDuration
Indicates the length of time over which a mission or operation takes place from start to finish.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a4a1b240648190bf15415205399d97 |
completed | March 1, 2026, 8:29 p.m. |
Created at: March 1, 2026, 7:36 p.m.