Triple
T9979892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meoto Iwa |
E196423
|
entity |
| Predicate | numberOfRopes |
P91414
|
FINISHED |
| Object | one main shimenawa |
—
|
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: one main shimenawa | Statement: [Meoto Iwa, numberOfRopes, one main shimenawa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRopes Context triple: [Meoto Iwa, numberOfRopes, one main shimenawa]
-
A.
usedFixedRopes
Indicates that the subject relied on pre-installed fixed ropes or lines to aid in movement or support during the activity or route.
-
B.
numberOfWires
Indicates the quantity of wires associated with or contained in a given entity.
-
C.
numberOfRukus
Indicates the quantity or count of distinct "Rukus" associated with or involved in a given entity or situation.
-
D.
numberOfRings
Indicates the quantity of rings associated with an entity.
-
E.
numberOfRivets
Indicates the quantitative relationship specifying how many rivets are associated with a given object or structure.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8b9aca881908a9b5dfd7e0de4ba |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:49 p.m.