Triple
T28634461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chu (Ten Kingdoms) |
E724737
|
entity |
| Predicate | nameSharesOriginWith |
P42956
|
FINISHED |
| Object | ancient state of Chu |
—
|
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: ancient state of Chu | Statement: [Chu (Ten Kingdoms), nameSharesOriginWith, ancient state of Chu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameSharesOriginWith Context triple: [Chu (Ten Kingdoms), nameSharesOriginWith, ancient state of Chu]
-
A.
sharesNameRootWith
chosen
Indicates that two entities have names derived from the same linguistic root or base form.
-
B.
sharesNameWith
Indicates that two entities have the same name or an identical naming designation.
-
C.
sharesGivenNameWith
Indicates that two entities have the same given (first) name.
-
D.
sharesNameTypeWith
Indicates that two entities have the same type or category of name (e.g., both are first names, both are surnames, or both are of the same naming convention).
-
E.
nameSharesWithWork
Indicates that an entity shares the same name as a specified work (such as a book, film, or other creative piece).
- F. None of above.
Provenance (3 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 4:39 a.m.