Triple
T8150395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City God of Shanghai |
E190317
|
entity |
| Predicate | worshipFrequency |
P80821
|
FINISHED |
| Object | regular temple visits by devotees |
—
|
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: regular temple visits by devotees | Statement: [City God of Shanghai, worshipFrequency, regular temple visits by devotees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worshipFrequency Context triple: [City God of Shanghai, worshipFrequency, regular temple visits by devotees]
-
A.
worshipLevel
Indicates the degree or intensity to which one entity reveres, honors, or performs acts of worship toward another entity.
-
B.
worshipPeriod
Indicates the time span or specific period during which an act of worship or religious devotion takes place.
-
C.
timePeriodOfWorship
Indicates the specific time period during which the worship activity takes place or is observed.
-
D.
worshipType
Indicates the manner or form in which worship is practiced or expressed in a religious or spiritual context.
-
E.
pilgrimageFrequency
Indicates how often an entity undertakes or participates in a pilgrimage.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4481f19c8190aeec9bf029ad321b |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39ba412881908a053e88f29a9588 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:37 p.m.