Triple
T15392408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 長堀鶴見緑地線 |
E368079
|
entity |
| Predicate | 代表的な利用目的 |
P98
|
FINISHED |
| Object | 大阪市中心部への通勤通学輸送 |
—
|
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: 大阪市中心部への通勤通学輸送 | Statement: [長堀鶴見緑地線, 代表的な利用目的, 大阪市中心部への通勤通学輸送]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 代表的な利用目的 Context triple: [長堀鶴見緑地線, 代表的な利用目的, 大阪市中心部への通勤通学輸送]
-
A.
operationalPurpose
Indicates the function, role, or intended use that an entity is designed or configured to perform in an operational context.
-
B.
endedUseWith
Indicates that an entity has stopped or terminated its use or association with another entity.
-
C.
traditionalPurpose
Indicates that something serves a role, function, or use that is established by long-standing custom or tradition.
-
D.
usedFor
chosen
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
E.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7838b48190862b43c6c8620692 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.