Triple
T15765536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naka Ward, Nagoya |
E382208
|
entity |
| Predicate | hasNotableAreaType |
P6822
|
FINISHED |
| Object | downtown core of Nagoya |
—
|
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: downtown core of Nagoya | Statement: [Naka Ward, Nagoya, hasNotableAreaType, downtown core of Nagoya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAreaType Context triple: [Naka Ward, Nagoya, hasNotableAreaType, downtown core of Nagoya]
-
A.
hasAreaType
chosen
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
B.
hasNotableCollectionArea
Indicates that an entity possesses a significant or distinguished collection focused on a particular subject, theme, or domain.
-
C.
notableAreaWithin
Indicates that one area is a particularly significant or noteworthy part located inside another, larger area.
-
D.
hasPlayAreaType
Indicates the specific kind or category of play area associated with an entity (e.g., indoor, outdoor, playground type).
-
E.
hasNotableNatureArea
Indicates that an entity possesses or is associated with a significant or noteworthy natural 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b8154881908afe5191e6424f15 |
completed | April 16, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.