Triple
T27959463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Cao |
E704538
|
entity |
| Predicate | formalStateName |
P87219
|
FINISHED |
| Object | Wei |
—
|
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: Wei | Statement: [House of Cao, formalStateName, Wei]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalStateName Context triple: [House of Cao, formalStateName, Wei]
-
A.
stateName
Indicates that an entity is identified by or associated with a particular state’s name.
-
B.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
C.
stateNickname
Indicates that one entity is the commonly used nickname or informal moniker for a given state.
-
D.
modernStateName
chosen
Indicates that an entity is identified by the name of the corresponding modern (current) state or country.
-
E.
provinceState
Indicates that one entity is a province or state that is administratively contained within or associated with another, typically larger, territorial 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 7:30 p.m.