Triple
T29357747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guanghe |
E744491
|
entity |
| Predicate | eraSequenceInEmperorLingReign |
P166676
|
FINISHED |
| Object | after Jianning and before Zhongping |
—
|
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: after Jianning and before Zhongping | Statement: [Guanghe, eraSequenceInEmperorLingReign, after Jianning and before Zhongping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraSequenceInEmperorLingReign Context triple: [Guanghe, eraSequenceInEmperorLingReign, after Jianning and before Zhongping]
-
A.
eraSequenceWithinDynasty
Indicates that one historical era occurs in a specific ordered position relative to another era within the same dynasty.
-
B.
eraNumberUnderEmperorYang
Indicates that the specified era name or era number was used during the reign of Emperor Yang.
-
C.
eraSequenceInNorthernQi
Indicates that one era chronologically follows another within the historical context of the Northern Qi dynasty.
-
D.
eraNumberInDynasty
Indicates that a specific era is identified by and associated with a particular numbered position within a dynasty.
-
E.
ordinalNumberAsEmperor
Indicates the numerical order in which a person held the title or role of emperor.
- F. None of above. chosen
Provenance (4 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66985cdf881909808aaca2394310d |
completed | May 2, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:14 p.m.