Triple
T28498854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metropolitan Routes |
E721178
|
entity |
| Predicate | includesRuralSections |
P143998
|
FINISHED |
| Object | Nishi-Tama and island areas (where designated) |
—
|
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: Nishi-Tama and island areas (where designated) | Statement: [Tokyo Metropolitan Routes, includesRuralSections, Nishi-Tama and island areas (where designated)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesRuralSections Context triple: [Tokyo Metropolitan Routes, includesRuralSections, Nishi-Tama and island areas (where designated)]
-
A.
hasRuralSection
chosen
Indicates that an entity includes, contains, or is associated with a portion or segment located in a rural area.
-
B.
hasLongRuralSectionsIn
Indicates that something (such as a route or infrastructure) contains extended stretches that pass through rural areas within a specified region or location.
-
C.
ruralSectionType
Indicates the classification or type of a section or segment that is located in a rural area.
-
D.
hasRuralDistricts
Indicates that an entity is associated with, contains, or is administratively linked to one or more rural districts.
-
E.
hasRuralArea
Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: April 28, 2026, 3:05 a.m.