Triple
T2711765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanzen-ji |
E59877
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Higashiyama area |
E83963
|
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: Higashiyama area | Statement: [Nanzen-ji, locatedIn, Higashiyama area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Higashiyama area Context triple: [Nanzen-ji, locatedIn, Higashiyama area]
-
A.
Umeda district
Umeda district is a major commercial and transportation hub in Osaka, Japan, known for its skyscrapers, shopping complexes, and extensive train and subway connections.
-
B.
Nihombashi district
Nihombashi district is a historic commercial and financial center of Tokyo known for its traditional merchants, department stores, and role as a major business hub.
-
C.
Gion district
chosen
Gion district is Kyoto’s famous traditional entertainment quarter, renowned for its historic wooden machiya houses, teahouses, and geisha (geiko and maiko) culture.
-
D.
Abeno district
Abeno district is a major commercial and residential area in Osaka, Japan, known for its large shopping complexes and the landmark Abeno Harukas skyscraper.
-
E.
Nishi-ku
Nishi-ku is a ward in Fukuoka, Japan, known for its coastal areas, residential neighborhoods, and access to both urban amenities and natural scenery.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda78c4f08190bb1217f08198c4cc |
completed | March 7, 2026, 7:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4c13494819095821f44916329c9 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 6, 2026, 9:55 p.m.