Triple
T19541984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otodome Falls |
E488928
|
entity |
| Predicate | distanceToShiraitoFalls |
P42849
|
FINISHED |
| Object | approximately 500 meters |
—
|
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 500 meters | Statement: [Otodome Falls, distanceToShiraitoFalls, approximately 500 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToShiraitoFalls Context triple: [Otodome Falls, distanceToShiraitoFalls, approximately 500 meters]
-
A.
distanceFromFalls
chosen
Indicates the measured distance between a location or object and a specified waterfall or falls.
-
B.
distanceFromVictoriaFalls
Indicates the measured distance between a given location and Victoria Falls.
-
C.
distanceToIōtō
Indicates the spatial distance between a subject and the location Iōtō.
-
D.
distanceToHirakudDam_km
Indicates the physical distance, measured in kilometers, between a given location and the Hirakud Dam.
-
E.
distanceToRaetihi
Indicates the spatial distance between a given entity and the location Raetihi.
- F. None of above.
Provenance (3 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6387442588190a2cdae60a6a940d6 |
completed | April 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.