Triple
T24006846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Snake |
E594411
|
entity |
| Predicate | associatedHours |
P45233
|
FINISHED |
| Object | 09:00–11:00 |
—
|
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: 09:00–11:00 | Statement: [Year of the Snake, associatedHours, 09:00–11:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedHours Context triple: [Year of the Snake, associatedHours, 09:00–11:00]
-
A.
spentTimeIn
Indicates that an entity has spent a certain amount or period of time in a particular place or context.
-
B.
timePeriodOfWorks
Indicates the span of time during which the associated works were created, produced, or active.
-
C.
associatedWithTime
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
D.
hasStaffedHours
chosen
Indicates that specific hours or time periods are assigned during which staff are present and available.
-
E.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d46a6ba48190b0cce0b134dfb35f |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:40 p.m.