Triple
T30831138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baoying |
E785220
|
entity |
| Predicate | precededByMonarchEra |
P182769
|
FINISHED |
| Object | Dali (Emperor Suzong of Tang) |
—
|
NE NERFINISHED |
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: Dali (Emperor Suzong of Tang) | Statement: [Baoying, precededByMonarchEra, Dali (Emperor Suzong of Tang)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByMonarchEra Context triple: [Baoying, precededByMonarchEra, Dali (Emperor Suzong of Tang)]
-
A.
precededByEraInSameDynasty
Indicates that one era directly comes before another era within the same dynasty.
-
B.
precedesEra
Indicates that one time period or era occurs entirely before another in chronological order.
-
C.
precedesEraName
Indicates that one era occurs entirely before another era in chronological order.
-
D.
precedesInReign
Indicates that one ruler’s period of reign occurred entirely before another ruler’s period of reign in a temporal succession.
-
E.
predecessorEraRuler
Indicates that one ruler directly preceded another as the ruler of a given era or period.
- 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7908ec35881909a42f954fb9fa16e |
completed | May 3, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78fd3fd888190b7db0b563f298585 |
completed | May 3, 2026, 6:11 p.m. |
Created at: April 29, 2026, 8:44 p.m.