Triple
T7891407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taga |
E183242
|
entity |
| Predicate | hasNotableSite |
P2462
|
FINISHED |
| Object |
Taga Taisha
Taga Taisha is a prominent Shinto shrine in Taga, Shiga Prefecture, revered for its long history and association with deities of longevity and good fortune.
|
E712049
|
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: Taga Taisha | Statement: [Taga, hasNotableSite, Taga Taisha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taga Taisha Context triple: [Taga, hasNotableSite, Taga Taisha]
-
A.
Taihoku
Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
D.
Tenryu
Tenryu is the original name of Japan's famed Blue Impulse aerobatic demonstration team.
-
E.
Sankashū
Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
- 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: Taga Taisha Triple: [Taga, hasNotableSite, Taga Taisha]
Generated description
Taga Taisha is a prominent Shinto shrine in Taga, Shiga Prefecture, revered for its long history and association with deities of longevity and good fortune.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taga Taisha Target entity description: Taga Taisha is a prominent Shinto shrine in Taga, Shiga Prefecture, revered for its long history and association with deities of longevity and good fortune.
-
A.
Taihoku
Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
-
B.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
C.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
D.
Tenryu
Tenryu is the original name of Japan's famed Blue Impulse aerobatic demonstration team.
-
E.
Sankashū
Sankashū is a renowned anthology of waka poetry by the Japanese poet-monk Saigyō, celebrated for its deeply reflective and nature-focused verse from the late Heian period.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ee137081908e87e35016c3a176 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc935fac3081908d70cf29b90cfcff |
completed | April 1, 2026, 3:39 a.m. |
| NEDg | Description generation | batch_69cc955542fc8190a84be60f4efea915 |
completed | April 1, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc964c6b308190ae121072b1180268 |
completed | April 1, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5 p.m.