Triple
T29258200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 後周 |
E741761
|
entity |
| Predicate | flagshipReignTitle |
P166936
|
FINISHED |
| Object | 廣順 |
—
|
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: 廣順 | Statement: [後周, flagshipReignTitle, 廣順]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipReignTitle Context triple: [後周, flagshipReignTitle, 廣順]
-
A.
titleReign
Indicates the period during which a particular title was officially held or exercised by an entity.
-
B.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
-
C.
flagshipAt
Indicates that a particular entity serves as the primary or leading representative (flagship) of something at or for a specified location, organization, or context.
-
D.
flagshipRaceName
Indicates the name of the primary or most important race associated with an entity.
-
E.
titleReignType
Indicates the type or nature of a reign associated with a particular title (e.g., hereditary, elective, regency).
- 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_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 12:39 p.m.