Triple
T22726201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hibiya, Chiyoda, Tokyo |
E561998
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object | Hibiya Park |
—
|
NE NERFINISHED |
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: Hibiya Park | Statement: [Hibiya, Chiyoda, Tokyo, hasPark, Hibiya Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hibiya Park Context triple: [Hibiya, Chiyoda, Tokyo, hasPark, Hibiya Park]
-
A.
Hibiya Park
chosen
Hibiya Park is a historic public park in central Tokyo known for its Western-style gardens, open-air concert venues, and role as a popular cultural and political gathering place.
-
B.
Ueno Park
Ueno Park is a large public park in Tokyo famous for its cherry blossoms, cultural institutions like museums and a zoo, and historic temples and shrines.
-
C.
Shikishima Park
Shikishima Park is a large public park in Maebashi, Japan, known for its expansive green spaces, seasonal flowers, and recreational facilities.
-
D.
Setagaya Park
Setagaya Park is a public green space in Tokyo’s Setagaya ward, known for its recreational facilities and local community use.
-
E.
Hikarigaoka Park
Hikarigaoka Park is a large urban green space in Tokyo known for its expansive lawns, cherry blossoms, and recreational facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17929710c81909a895622ee32920e |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.