Triple
T18682610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National highways of Japan |
E456771
|
entity |
| Predicate | signFeature |
P132275
|
FINISHED |
| Object | route number only |
—
|
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: route number only | Statement: [National highways of Japan, signFeature, route number only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signFeature Context triple: [National highways of Japan, signFeature, route number only]
-
A.
signatureFeature
Indicates that one entity is a defining or characteristic feature that distinctly identifies or typifies another entity.
-
B.
signType
Indicates the specific category or kind of sign involved in the relationship or action.
-
C.
signature
Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
-
D.
signText
Indicates that a sign bears or displays a particular textual content.
-
E.
signatureImage
Indicates that an entity has an associated image that visually represents its signature.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2abf3c8190958c03066b5814af |
completed | April 19, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:49 a.m.