Triple
T367359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transcendentalism |
E7990
|
entity |
| Predicate | periodOfActivity |
P10350
|
FINISHED |
| Object | 1830s |
—
|
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: 1830s | Statement: [Transcendentalism, periodOfActivity, 1830s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfActivity Context triple: [Transcendentalism, periodOfActivity, 1830s]
-
A.
historicallyActiveIn
Indicates that an entity was active or engaged in significant activities within a particular place or context during a past historical period.
-
B.
activityTime
chosen
Indicates the time period during which an activity occurs or is scheduled to take place.
-
C.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
D.
activeYearsInSport
Indicates the span of years during which an entity actively participated in a particular sport.
-
E.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe92c7c8190b49af2b2b461eacc |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95ede588190998fdf3a6ea90498 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.