Triple
T37975270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Court |
E947404
|
entity |
| Predicate | usedCalendarEraNames |
P91459
|
FINISHED |
| Object | Japanese nengō system |
—
|
LITERAL 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: Japanese nengō system | Statement: [Northern Court, usedCalendarEraNames, Japanese nengō system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedCalendarEraNames Context triple: [Northern Court, usedCalendarEraNames, Japanese nengō system]
-
A.
usedEraName
chosen
Indicates that an entity employed or referenced a specific historical or calendrical era name in its dating or designation.
-
B.
usedChineseEraNames
Indicates that one entity employed or referenced Chinese era names in relation to another entity or context.
-
C.
precedesEraName
Indicates that one era occurs entirely before another era in chronological order.
-
D.
calendarEraAlignment
Indicates that two calendar eras are related by a defined temporal correspondence or offset, aligning their dates or time scales to each other.
-
E.
historicalEraOfNaming
Indicates the historical era or time period during which an entity received its name.
- F. None of above.
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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.