Triple
T558476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Sainte-Victoire series |
E11995
|
entity |
| Predicate | approximateEndTime |
P8204
|
FINISHED |
| Object | early 1900s |
—
|
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: early 1900s | Statement: [Mont Sainte-Victoire series, approximateEndTime, early 1900s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateEndTime Context triple: [Mont Sainte-Victoire series, approximateEndTime, early 1900s]
-
A.
hasApproximateDuration
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
-
B.
hasApproximateEnd
chosen
Indicates that an entity’s end point, time, or boundary is known only approximately rather than precisely.
-
C.
durationUntil
Indicates the length of time remaining from a given starting point until a specified future event or state occurs.
-
D.
interceptionTimeRemaining
Indicates the amount of time left before an interception event between entities is expected to occur.
-
E.
closingAuctionTimeLocal
Indicates the local-time moment at which an auction or bidding process is scheduled to end.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499df43f08190b514a38d36fc271d |
completed | March 1, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69a494bd78e8819083c519669158f209 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.