Triple
T7715029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Gaikan Expressway |
E174857
|
entity |
| Predicate | hasOfficialClassification |
P25488
|
FINISHED |
| Object | national expressway of Japan |
—
|
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: national expressway of Japan | Statement: [Tokyo Gaikan Expressway, hasOfficialClassification, national expressway of Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialClassification Context triple: [Tokyo Gaikan Expressway, hasOfficialClassification, national expressway of Japan]
-
A.
hasOfficialRecognition
Indicates that an entity has been formally acknowledged or approved by an authorized body or institution.
-
B.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
-
C.
areClassifiedBy
chosen
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
D.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
E.
officialClassificationCount
Indicates the number of official classifications that have been assigned to an 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.