Triple
T29258177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 後周 |
E741761
|
entity |
| Predicate | lastRulerPersonalName |
P166781
|
FINISHED |
| Object | 郭宗訓 |
—
|
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: 郭宗訓 | Statement: [後周, lastRulerPersonalName, 郭宗訓]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastRulerPersonalName Context triple: [後周, lastRulerPersonalName, 郭宗訓]
-
A.
lastRulerAlsoKnownAs
Indicates that an alternative name or alias is used to refer to the last ruler of a given entity.
-
B.
laterRulerTitle
Indicates that an entity held a particular ruler title at a later point in time, after some earlier status or title.
-
C.
rulerOf
Indicates that one entity holds governing authority or sovereignty over another entity, such as a person ruling a country or territory.
-
D.
lastMonarchOf
Indicates that one entity is the final reigning monarch of another entity, such as a country, kingdom, or territory.
-
E.
recognizedAsRulersBy
Indicates that certain entities are acknowledged or accepted by others as their legitimate rulers or authorities.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f664af8ca48190bfd74d02b761a1b4 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 12:39 p.m.