Triple
T17362673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engi |
E422106
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object |
Shōtai
Shōtai was a Japanese era name (nengō) of the early 10th century, preceding the Engi era in the Heian period.
|
E1265021
|
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: Shōtai | Statement: [Engi, follows, Shōtai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shōtai Context triple: [Engi, follows, Shōtai]
-
A.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
B.
Shinchōsha
Shinchōsha is a Japanese publishing company known for producing literary fiction, non-fiction, and cultural works, including prominent modern Japanese authors.
-
C.
Shinshisha
Shinshisha was a pioneering early 20th-century Japanese literary coterie and poetry magazine circle known for promoting innovative tanka poetry and modernist literature.
-
D.
Shinshiro
Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
-
E.
Kita-Shinchi
Kita-Shinchi is a famous nightlife and entertainment district in Osaka known for its upscale bars, clubs, and restaurants.
- 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: Shōtai Triple: [Engi, follows, Shōtai]
Generated description
Shōtai was a Japanese era name (nengō) of the early 10th century, preceding the Engi era in the Heian period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shōtai Target entity description: Shōtai was a Japanese era name (nengō) of the early 10th century, preceding the Engi era in the Heian period.
-
A.
Seishirō
Seishirō is a Japanese given name commonly used for male individuals.
-
B.
Shinchōsha
Shinchōsha is a Japanese publishing company known for producing literary fiction, non-fiction, and cultural works, including prominent modern Japanese authors.
-
C.
Shinshisha
Shinshisha was a pioneering early 20th-century Japanese literary coterie and poetry magazine circle known for promoting innovative tanka poetry and modernist literature.
-
D.
Shinshiro
Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
-
E.
Kita-Shinchi
Kita-Shinchi is a famous nightlife and entertainment district in Osaka known for its upscale bars, clubs, and restaurants.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4e3c3481909dfaa00334c5010e |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01956294ec819083c1dde8fc2685e4 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a019b7ab6bc8190843e2c6c7f2007d7 |
completed | May 11, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019c53d8b0819083f380693943f881 |
completed | May 11, 2026, 9:07 a.m. |
Created at: April 10, 2026, 5:44 a.m.