Triple
T34733504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddhist Dhammaraja |
E1001275
|
entity |
| Predicate | goalOfRule |
P181560
|
FINISHED |
| Object | welfare and happiness of subjects |
—
|
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: welfare and happiness of subjects | Statement: [Buddhist Dhammaraja, goalOfRule, welfare and happiness of subjects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalOfRule Context triple: [Buddhist Dhammaraja, goalOfRule, welfare and happiness of subjects]
-
A.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
B.
subjectOfRule
Indicates that an entity is governed, constrained, or described by a particular rule.
-
C.
goalIn
Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
-
D.
allegedGoal
Indicates that one entity is claimed or reported to have the goal or intended objective of another entity, without asserting that the goal is actually true.
-
E.
goalDescription
Indicates that an entity expresses, specifies, or provides a textual description of a goal or intended outcome associated with another entity or activity.
- F. None of above. chosen
Provenance (4 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.