Triple
T28076016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhongwu |
E709543
|
entity |
| Predicate | honorsPersonFromState |
P169952
|
FINISHED |
| Object | Shu Han |
—
|
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: Shu Han | Statement: [Zhongwu, honorsPersonFromState, Shu Han]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsPersonFromState Context triple: [Zhongwu, honorsPersonFromState, Shu Han]
-
A.
honorsPerson
Indicates that one entity formally recognizes, respects, or pays tribute to a specific person.
-
B.
honorsPersonBornIn
Indicates that one entity pays tribute or recognition to a person who was born in a specified place or time.
-
C.
honoredPerson
Indicates that a person is the recipient of honor, recognition, or special distinction from another party or in a particular context.
-
D.
honorsOfficeHolder
Indicates that one entity formally recognizes or pays tribute to an individual who holds or has held a particular office or position.
-
E.
honorsPersonNationality
Indicates that an entity honors, recognizes, or pays tribute to a person specifically in relation to that person's nationality.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f688d015908190ad5df37030ecf332 |
completed | May 2, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 27, 2026, 8:49 p.m.