Triple
T16504178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shorinzan Daruma-ji Temple |
E400877
|
entity |
| Predicate | receivesVisitorsEspeciallyIn |
P123809
|
FINISHED |
| Object | early January |
—
|
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: early January | Statement: [Shorinzan Daruma-ji Temple, receivesVisitorsEspeciallyIn, early January]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesVisitorsEspeciallyIn Context triple: [Shorinzan Daruma-ji Temple, receivesVisitorsEspeciallyIn, early January]
-
A.
primaryVisitors
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
B.
hasVisitorsFrom
Indicates that an entity receives or has received visitors originating from another specified entity or location.
-
C.
frequentlyVisitedBy
Indicates that an entity is regularly or often visited by another entity.
-
D.
visitorIs
Indicates that one entity is acting in the role or capacity of a visitor with respect to another entity.
-
E.
visits
Indicates that one entity goes to or spends time at the location or presence of 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e5100e48190a623d6ee2fefb87e |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.