Triple
T32448113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhōnghuá Rénmín Gònghéguó Fùzhǔxí |
E829200
|
entity |
| Predicate | canServeConsecutiveTerms |
P155278
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Zhōnghuá Rénmín Gònghéguó Fùzhǔxí, canServeConsecutiveTerms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canServeConsecutiveTerms Context triple: [Zhōnghuá Rénmín Gònghéguó Fùzhǔxí, canServeConsecutiveTerms, yes]
-
A.
mayServeMultipleTerms
chosen
Indicates that an entity is allowed to hold or perform the same role or position for more than one term.
-
B.
hasSecondTerm
Indicates that an entity is associated with a second term in a sequence, pair, or ordered relationship.
-
C.
eligibleForReelectionAfter
Indicates that an individual is permitted, under the relevant rules or laws, to run again for a position or office after a specified time or condition is met.
-
D.
canBeReelected
Indicates that an individual currently holding an office or position is eligible to be chosen again for the same role in a subsequent election.
-
E.
canReelectSenatorsConsecutively
Indicates that a governing system allows senators to be reelected for consecutive terms without interruption.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2e822a88190a7b32d03127a2025 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:56 a.m.