Triple
T24033611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speaker of the Parliament of Lebanon |
E595168
|
entity |
| Predicate | positionInProtocolOrder |
P34969
|
FINISHED |
| Object | third in state hierarchy |
—
|
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: third in state hierarchy | Statement: [Speaker of the Parliament of Lebanon, positionInProtocolOrder, third in state hierarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInProtocolOrder Context triple: [Speaker of the Parliament of Lebanon, positionInProtocolOrder, third in state hierarchy]
-
A.
rankInProtocol
chosen
Indicates the relative position or precedence an entity holds within an ordered protocol or formal hierarchy.
-
B.
positionInMessage
Indicates the specific location or index where something appears within a message.
-
C.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
-
D.
positionInCascade
Indicates the specific step or level an element occupies within an ordered cascade or sequence of dependent stages.
-
E.
positionInSet
Indicates that an entity occupies a specific position or rank within an ordered set or collection.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d0ec8081908f98e78944bff040 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:56 p.m.