Triple
T7567184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keio railway network |
E178944
|
entity |
| Predicate | hasBranchLinePurpose |
P77645
|
FINISHED |
| Object | access to leisure facilities |
—
|
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: access to leisure facilities | Statement: [Keio railway network, hasBranchLinePurpose, access to leisure facilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBranchLinePurpose Context triple: [Keio railway network, hasBranchLinePurpose, access to leisure facilities]
-
A.
possibleBranch
Indicates that one entity can serve as an alternative or potential continuation path branching from another entity.
-
B.
hasMajorBranch
Indicates that one entity possesses or includes another entity as a primary or principal subdivision or branch.
-
C.
hasTwoBranches
Indicates that the related entity is divided into or composed of exactly two distinct branches.
-
D.
usedByBranch
Indicates that something (such as a resource, configuration, or component) is utilized or depended upon by a particular branch.
-
E.
hadBranchIn
Indicates that an organization or entity maintained a branch, office, or subsidiary located in another specified place or entity.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f91c717881909c88901cc3b101c7 |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f59517648190ac0a9e9cba045dd5 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:50 p.m.