Triple
T924191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Assembly of the Republic |
E19946
|
entity |
| Predicate | rankInStateProtocol |
P21163
|
FINISHED |
| Object | second highest office of the Portuguese state |
—
|
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: second highest office of the Portuguese state | Statement: [President of the Assembly of the Republic, rankInStateProtocol, second highest office of the Portuguese state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInStateProtocol Context triple: [President of the Assembly of the Republic, rankInStateProtocol, second highest office of the Portuguese state]
-
A.
stateRank
chosen
Indicates the relative position or standing of an entity within a specific state-level ordering or hierarchy.
-
B.
eligibleRank
Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
-
C.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
-
D.
rankIndicated
Indicates that one entity specifies, denotes, or reveals the hierarchical rank or level of another entity.
-
E.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.