Triple
T32458328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taichu |
E829491
|
entity |
| Predicate | eraNumberInReign |
P174198
|
FINISHED |
| Object | fifth era of Emperor Wu of Han |
—
|
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: fifth era of Emperor Wu of Han | Statement: [Taichu, eraNumberInReign, fifth era of Emperor Wu of Han]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraNumberInReign Context triple: [Taichu, eraNumberInReign, fifth era of Emperor Wu of Han]
-
A.
eraSequenceInReign
chosen
Indicates the ordinal position of a specific era within the chronological sequence of eras that occur during a particular ruler’s reign.
-
B.
yearOfReign
Indicates the specific year or span of years during which a ruler or authority held official power or reigned.
-
C.
centuryOfReign
Indicates the century during which a given entity’s reign or rule took place.
-
D.
mostReignsNumber
Indicates that the subject holds the highest number of separate reigns or terms in a given role or title compared to all others.
-
E.
numberOfReigns
Indicates the count of distinct reigns or ruling periods associated with an entity.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 12:56 a.m.