Triple
T14305655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ninna-ji |
E354687
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ukyo-ku, Kyoto |
E949548
|
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: Ukyo-ku, Kyoto | Statement: [Ninna-ji, locatedIn, Ukyo-ku, Kyoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ukyo-ku, Kyoto Context triple: [Ninna-ji, locatedIn, Ukyo-ku, Kyoto]
-
A.
Ukyo-ku, Kyoto
chosen
Ukyo-ku, Kyoto is one of Kyoto City's western wards, known for its historic temples, traditional streets, and scenic areas such as Arashiyama.
-
B.
Nakagyō-ku, Kyoto
Nakagyō-ku, Kyoto is a central ward of Kyoto City known for its historic sites, traditional streetscapes, and role as a cultural and commercial hub.
-
C.
Kamigyo-ku, Kyoto
Kamigyo-ku, Kyoto is a central ward of Kyoto City known for its historic neighborhoods, traditional culture, and many important temples and shrines.
-
D.
Sakyo-ku, Kyoto
Sakyo-ku, Kyoto is a northeastern ward of Kyoto City known for its major universities, historic temples, and scenic natural areas including parts of the Higashiyama and Kitayama mountains.
-
E.
Nishikyo-ku, Kyoto
Nishikyo-ku, Kyoto is a western ward of Kyoto City known for its mix of residential areas, historical sites, and major educational institutions.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b3a76ac819088587b9fa560b6dc |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:12 a.m.