Triple
T5088044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential inaugurations of Portugal |
E114684
|
entity |
| Predicate | hasProtocolStatus |
P61228
|
FINISHED |
| Object | state ceremony of highest rank |
—
|
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: state ceremony of highest rank | Statement: [Presidential inaugurations of Portugal, hasProtocolStatus, state ceremony of highest rank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtocolStatus Context triple: [Presidential inaugurations of Portugal, hasProtocolStatus, state ceremony of highest rank]
-
A.
hasPortStatus
Indicates the current operational or connectivity state of a specific port in a system or device.
-
B.
hasModelStatus
Indicates that an entity is assigned a particular model-related state or condition, such as its current phase, validity, or operational status within a modeling context.
-
C.
hasUnitStatus
Indicates that an entity is associated with a particular operational or condition status as a unit.
-
D.
hasNavigationStatus
Indicates the current state or condition of an entity’s navigation, such as whether and how it is actively navigating.
-
E.
hasStatusIn
Indicates that an entity holds or is assigned a particular status within a specified context, scope, or system.
- F. None of above. chosen
Provenance (4 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75219a94819094fc54c1df448470 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd73b2c2808190b777e2c2a8a45d3f |
completed | March 20, 2026, 4:20 p.m. |
Created at: March 20, 2026, 1:40 p.m.