Triple
T1577070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenjin |
E33677
|
entity |
| Predicate | veneratedFor |
P30748
|
FINISHED |
| Object | academic success |
—
|
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: academic success | Statement: [Tenjin, veneratedFor, academic success]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: veneratedFor Context triple: [Tenjin, veneratedFor, academic success]
-
A.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
B.
venerationType
Indicates the specific manner or category of reverence or worship directed toward an entity.
-
C.
veneratedAt
Indicates that an entity is honored, revered, or worshipped at a particular place or institution.
-
D.
worshipedAs
Indicates that one entity regards and treats another as a deity or sacred figure, offering reverence, devotion, or religious honor.
-
E.
worshippedAs
Indicates that one entity is regarded and treated with religious reverence or devotion by another entity.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907ba63c88190b60c14dec8d1e40f |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:27 p.m.