Triple
T36065895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musashi Ichinomiya Hikawa Shrine |
E1043227
|
entity |
| Predicate | shrineNetwork |
P184540
|
FINISHED |
| Object | Hikawa shrines |
—
|
NE NERFINISHED |
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: Hikawa shrines | Statement: [Musashi Ichinomiya Hikawa Shrine, shrineNetwork, Hikawa shrines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shrineNetwork Context triple: [Musashi Ichinomiya Hikawa Shrine, shrineNetwork, Hikawa shrines]
-
A.
shrineCity
Indicates that a city is the location of, or is associated with, a particular shrine.
-
B.
shrineName
Indicates that an entity has the specified name of a shrine.
-
C.
shrineType
Indicates the specific category or kind of shrine associated with an entity.
-
D.
associatedShrine
Indicates that there is a specific shrine linked or connected to the given entity, typically as its dedicated or related place of worship or reverence.
-
E.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b35e32d481909ef0220e6f6ff4a8 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2c66054819083897e25edb65ba7 |
completed | May 3, 2026, 8:40 p.m. |
Created at: May 3, 2026, 4:08 p.m.