Triple
T15353297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naha Otsunahiki |
E367106
|
entity |
| Predicate | hasRopeWeight |
P118231
|
FINISHED |
| Object | approximately 40 tons |
—
|
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: approximately 40 tons | Statement: [Naha Otsunahiki, hasRopeWeight, approximately 40 tons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRopeWeight Context triple: [Naha Otsunahiki, hasRopeWeight, approximately 40 tons]
-
A.
hasRopeSupportStones
Indicates that a rope is used to support, hold, or suspend one or more stones.
-
B.
usedFixedRopes
Indicates that the subject relied on pre-installed fixed ropes or lines to aid in movement or support during the activity or route.
-
C.
numberOfRopes
Indicates the quantity of ropes associated with or used by a given entity or situation.
-
D.
typeOfRigging
Indicates the kind or configuration of rigging used in relation to an object or structure.
-
E.
hasBellWeight
Indicates that an entity (typically a bell) has a specific weight value associated with it.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:18 a.m.