Triple
T11826057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Arya Truths |
E281262
|
entity |
| Predicate | firstTruthName |
P101701
|
FINISHED |
| Object | dukkha |
—
|
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: dukkha | Statement: [Four Arya Truths, firstTruthName, dukkha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTruthName Context triple: [Four Arya Truths, firstTruthName, dukkha]
-
A.
realName
Indicates that one entity is the actual, full, or birth name of another entity, which may be known by an alias, nickname, or alternate identity.
-
B.
primaryName
Indicates that the associated name is the main or most commonly used name for the entity in question.
-
C.
firstGenerationName
Indicates that the specified name is assigned to or associated with the first generation in a sequence, lineage, or series.
-
D.
givenName
Indicates the personal first name assigned to an individual.
-
E.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5eb299481909de3c0e85628fbe4 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.