Triple
T10503760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreaming |
E247733
|
entity |
| Predicate | concernsTime |
P57133
|
FINISHED |
| Object | ancestral time |
—
|
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: ancestral time | Statement: [Dreaming, concernsTime, ancestral time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsTime Context triple: [Dreaming, concernsTime, ancestral time]
-
A.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
B.
reasonForTime
Indicates that one entity provides the explanation or cause for a particular point or duration of time associated with another entity.
-
C.
spentTimeIn
Indicates that an entity has spent a certain amount or period of time in a particular place or context.
-
D.
hasConceptOfTime
chosen
Indicates that an entity possesses an understanding or awareness of time as an abstract concept or measurable dimension.
-
E.
dimensionOfTime
Indicates a temporal measurement or extent that specifies how long something lasts or when it occurs.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099d62408190a6c6884411c6e423 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:26 p.m.