Triple
T15633566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nankai segment |
E375879
|
entity |
| Predicate | hasSubsegments |
P6241
|
FINISHED |
| Object | Tokai segment |
E375878
|
NE FINISHED |
How this triple was built (3 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: Tokai segment | Statement: [Nankai segment, hasSubsegments, Tokai segment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokai segment Context triple: [Nankai segment, hasSubsegments, Tokai segment]
-
A.
Tokai segment
chosen
Tokai segment is a seismically active portion of the Nankai megathrust off central Japan, known for its potential to generate large, damaging earthquakes and tsunamis.
-
B.
Nankai segment
The Nankai segment is a major portion of the Nankai subduction zone off southwestern Japan that is known for generating powerful megathrust earthquakes and associated tsunamis.
-
C.
Tokai
Tokai is a suburb in Cape Town, South Africa, known for its residential areas, green spaces, and proximity to the Constantiaberg mountains.
-
D.
Tokai
Tokai is a city in Aichi Prefecture, Japan, known for its industrial base and proximity to the Nagoya metropolitan area.
-
E.
Tōkai industrial belt
The Tōkai industrial belt is a major Japanese industrial region along the Pacific coast, known for its dense concentration of manufacturing facilities, particularly in the automotive, machinery, and chemical sectors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubsegments Context triple: [Nankai segment, hasSubsegments, Tokai segment]
-
A.
hasMultipleSegments
chosen
Indicates that the referenced entity is composed of more than one distinct segment or section.
-
B.
hasSegmentWith
Indicates that an entity contains or includes at least one segment that satisfies a specified condition or matches a given segment.
-
C.
hasExpressSegments
Indicates that a route, service, or path includes segments that are designated as express, skipping certain intermediate stops or steps.
-
D.
hasRegularSegment
Indicates that an entity includes or is associated with a segment that occurs in a consistent, repeating, or standard pattern.
-
E.
hasSubSeries
Indicates that one series is a subordinate or component series within a larger parent series.
- F. None of above.
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f472b648190b7cd532a1b16373e |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.