Triple
T17823022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Kusatsu-Shirane |
E445036
|
entity |
| Predicate | lakePH |
P129333
|
FINISHED |
| Object | strongly acidic |
—
|
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: strongly acidic | Statement: [Mount Kusatsu-Shirane, lakePH, strongly acidic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakePH Context triple: [Mount Kusatsu-Shirane, lakePH, strongly acidic]
-
A.
mouthLake
Indicates the location where a river or stream flows into and forms part of a lake.
-
B.
lakeOrigin
Indicates that a lake originates from, is formed by, or has its source in a specified geographic or hydrological feature.
-
C.
hasNearbyLake
Indicates that one entity is located close to or in the vicinity of a lake.
-
D.
hasLakeThatRepresents
Indicates a relationship where a lake serves as a symbolic or representative feature for something, such as a place, concept, or entity.
-
E.
cityOnLake
Indicates that a city is located on the shore or edge of a particular lake.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891282a081908d384d45bf444baf |
completed | April 19, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:15 a.m.