Triple
T34784118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Commissioner and Plenipotentiary in China and the Far East |
E1002754
|
entity |
| Predicate | titleSpecifies |
P30784
|
FINISHED |
| Object | China |
—
|
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: China | Statement: [High Commissioner and Plenipotentiary in China and the Far East, titleSpecifies, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleSpecifies Context triple: [High Commissioner and Plenipotentiary in China and the Far East, titleSpecifies, China]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
titleDescription
Indicates that one entity serves as a descriptive or explanatory subtitle or summary associated with the title of another entity.
-
C.
titleImplies
Indicates that holding or being assigned a particular title suggests or entails a certain role, status, or set of responsibilities.
-
D.
titleOfTitle
Indicates that one title is the title of another title (e.g., a sub-title or alternate title associated with a primary title).
-
E.
titleRepresents
chosen
Indicates that a given title stands for, denotes, or symbolizes a particular concept, role, work, or entity.
- 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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
Created at: May 3, 2026, 3:59 p.m.