Triple
T9662301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Forest |
E233617
|
entity |
| Predicate | consequenceOfVisit |
P812
|
FINISHED |
| Object | divine displeasure |
—
|
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: divine displeasure | Statement: [Cedar Forest, consequenceOfVisit, divine displeasure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consequenceOfVisit Context triple: [Cedar Forest, consequenceOfVisit, divine displeasure]
-
A.
visits
Indicates that one entity goes to or spends time at the location or presence of another entity.
-
B.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
C.
visitedDuring
Indicates that one entity was present at or traveled to another entity within a specified time period or event.
-
D.
visitorPractice
Indicates that a visitor engages in or performs a particular practice, activity, or routine.
-
E.
notableVisit
Indicates that one entity made a visit to another entity or location that is considered significant or noteworthy.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0b7728819099473f404382b26a |
completed | April 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:14 p.m.