Triple
T10932957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of Lebanon |
E258253
|
entity |
| Predicate | allocatesParliamentSeatsBy |
P61906
|
FINISHED |
| Object | religious confession |
—
|
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: religious confession | Statement: [Constitution of Lebanon, allocatesParliamentSeatsBy, religious confession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocatesParliamentSeatsBy Context triple: [Constitution of Lebanon, allocatesParliamentSeatsBy, religious confession]
-
A.
parliamentarySeats
Indicates the number of seats a party, group, or representative holds in a parliamentary body.
-
B.
proportionalRepresentationSeats
Indicates that the number of seats allocated to an entity is determined according to a proportional representation system based on its share of votes or support.
-
C.
providesReservedParliamentarySeatsFor
chosen
Indicates that one entity allocates or guarantees a specific number of parliamentary seats exclusively for another entity.
-
D.
apportionedBy
Indicates that something is divided or allocated among parts or recipients according to a specified agent, rule, or method.
-
E.
seatsAllocatedBy
Indicates that seats are assigned or distributed by a particular agent, authority, or mechanism.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770a16cbc8190acd619defed7114c |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.