Triple
T16227666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taihaku-ku |
E393894
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
太白区
太白区 is one of the wards of Sendai City in Miyagi Prefecture, Japan, known for its mix of residential areas, natural scenery, and cultural sites.
|
E1200847
|
NE FINISHED |
How this triple was built (4 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: 太白区 | Statement: [Taihaku-ku, hasJapaneseName, 太白区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 太白区 Context triple: [Taihaku-ku, hasJapaneseName, 太白区]
-
A.
渭南市
渭南市 is a prefecture-level city in eastern Shaanxi Province, China, known for its location on the Wei River plain and its rich historical and agricultural significance.
-
B.
张湾区
张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一,以工业基础和城市综合功能较为发达而著称。
-
C.
Weibin District
Weibin District is an urban administrative district that serves as the central area and government seat of Xinxiang City in Henan Province, China.
-
D.
Weicheng District
Weicheng District is an urban administrative district forming part of the city of Weifang in Shandong Province, China.
-
E.
Chang’an District, Xi’an
Chang’an District, Xi’an is a southern urban district of Xi’an, China, known for encompassing parts of the city’s historical sites and rapidly developing suburban areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 太白区 Triple: [Taihaku-ku, hasJapaneseName, 太白区]
Generated description
太白区 is one of the wards of Sendai City in Miyagi Prefecture, Japan, known for its mix of residential areas, natural scenery, and cultural sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 太白区 Target entity description: 太白区 is one of the wards of Sendai City in Miyagi Prefecture, Japan, known for its mix of residential areas, natural scenery, and cultural sites.
-
A.
渭南市
渭南市 is a prefecture-level city in eastern Shaanxi Province, China, known for its location on the Wei River plain and its rich historical and agricultural significance.
-
B.
张湾区
张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一,以工业基础和城市综合功能较为发达而著称。
-
C.
Weibin District
Weibin District is an urban administrative district that serves as the central area and government seat of Xinxiang City in Henan Province, China.
-
D.
Weicheng District
Weicheng District is an urban administrative district forming part of the city of Weifang in Shandong Province, China.
-
E.
Chang’an District, Xi’an
Chang’an District, Xi’an is a southern urban district of Xi’an, China, known for encompassing parts of the city’s historical sites and rapidly developing suburban areas.
- F. None of above. chosen
Provenance (5 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2785f88190ae80d5d61129d3e5 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079c4184819091d3355a5afaeced |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a0009f631e08190aae358edc9ffad6b |
completed | May 10, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000a6de0488190ac72fb9eee9ec531 |
completed | May 10, 2026, 4:32 a.m. |
Created at: April 10, 2026, 5:03 a.m.