Triple
T810696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hefei |
E17536
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Okayama |
E187143
|
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: Okayama | Statement: [Hefei, hasSisterCity, Okayama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okayama Context triple: [Hefei, hasSisterCity, Okayama]
-
A.
Okayama
chosen
Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
-
B.
Takamatsu
Takamatsu is a coastal city in Japan’s Kagawa Prefecture on the island of Shikoku, known as a regional transport hub and gateway to the Seto Inland Sea.
-
C.
Niigata
Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
-
D.
Shizuoka
Shizuoka is a coastal city in central Japan known for its views of Mount Fuji, green tea production, and role as the capital of Shizuoka Prefecture.
-
E.
Amagasaki
Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab282fe48190a05ee97550843cd7 |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6573b108190a9d5a2053e7f3b8c |
completed | March 10, 2026, 6:12 a.m. |
Created at: March 1, 2026, 7:38 p.m.