Triple
T1067464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nara Prefecture |
E23243
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Nara Park deer |
E100999
|
NE 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: Nara Park deer | Statement: [Nara Prefecture, knownFor, Nara Park deer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nara Park deer Context triple: [Nara Prefecture, knownFor, Nara Park deer]
-
A.
Nara Park
chosen
Nara Park is a famous public park in Nara, Japan, known for its free-roaming deer and historic temples and shrines.
-
B.
Haga Park
Haga Park is a historic royal park in the Stockholm area known for its landscaped grounds, cultural heritage sites, and recreational green spaces.
-
C.
Tennoji Zoo
Tennoji Zoo is a historic zoological park in Osaka, Japan, known for its diverse animal exhibits and location within the popular Tennoji district.
-
D.
Tempozan Park
Tempozan Park is a waterfront public park in Osaka’s Tempozan Harbor Village area, known for its views of Osaka Bay and proximity to attractions like the Tempozan Ferris Wheel and Osaka Aquarium Kaiyukan.
-
E.
Miyashita Park
Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b911f06881908659cb85ba1e05e0 |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a51c208190a9a603100ed7f5dc |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.