Triple
T25162777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansei |
E626484
|
entity |
| Predicate | hasEraCode |
P36399
|
FINISHED |
| Object |
安政
安政 is a Japanese era name (nengō) from the late Edo period, spanning the mid-19th century and associated with significant political and social upheaval preceding the Meiji Restoration.
|
E1665756
|
NE FINISHED |
How this triple was built (3 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: 安政 | Statement: [Ansei, hasEraCode, 安政]
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: 安政 Triple: [Ansei, hasEraCode, 安政]
Generated description
安政 is a Japanese era name (nengō) from the late Edo period, spanning the mid-19th century and associated with significant political and social upheaval preceding the Meiji Restoration.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEraCode Context triple: [Ansei, hasEraCode, 安政]
-
A.
hasPrimaryEra
Indicates that an entity is chiefly associated with or belongs to a particular historical or temporal era.
-
B.
representsEra
chosen
Indicates that one entity designates the historical era, period, or age to which another entity belongs or is associated.
-
C.
hasEraReset
Indicates that a new era or time period has been initiated, resetting the previous temporal sequence or counting.
-
D.
subjectHasEra
Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
-
E.
hasEraInfluence
Indicates that one era or time period has a significant impact on shaping the characteristics, developments, or outcomes of another.
- F. None of above.
Provenance (6 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f46d401b988190848ff1e6bbc9f53a |
completed | May 1, 2026, 9:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105d123bf48190a1e3c96a8d534a08 |
completed | May 22, 2026, 1:41 p.m. |
| NEDg | Description generation | batch_6a105dd1e43c8190b10f80fbfa0d1b87 |
completed | May 22, 2026, 1:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a105e720558819080a749cd92cd6fc9 |
completed | May 22, 2026, 1:47 p.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:31 a.m.