Triple
T32872103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SNMG2 |
E840819
|
entity |
| Predicate | isContinuouslyAvailable |
P180364
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SNMG2, isContinuouslyAvailable, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isContinuouslyAvailable Context triple: [SNMG2, isContinuouslyAvailable, true]
-
A.
isContinuously
Indicates that an action, state, or relationship persists without interruption over a period of time.
-
B.
isContinuous
Indicates that a function, process, or relationship changes smoothly without abrupt jumps or breaks over its domain.
-
C.
continuouslyUsedAs
Indicates that one entity is persistently and repeatedly employed or utilized as another entity or for a particular function over an extended, uninterrupted period.
-
D.
continuityStatus
Indicates the state of whether something continues without interruption or has been broken, paused, or reset over time.
-
E.
canBeContinuous
Indicates that something has the potential to occur, exist, or be maintained without interruption over a continuous range or period.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: May 1, 2026, 1:17 a.m.