Triple
T38378184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Pact of 1943 |
E893681
|
entity |
| Predicate | parliamentaryRatio |
P189086
|
FINISHED |
| Object | 6:5 ratio of Christian to Muslim seats (pre-Taif) |
—
|
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: 6:5 ratio of Christian to Muslim seats (pre-Taif) | Statement: [National Pact of 1943, parliamentaryRatio, 6:5 ratio of Christian to Muslim seats (pre-Taif)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parliamentaryRatio Context triple: [National Pact of 1943, parliamentaryRatio, 6:5 ratio of Christian to Muslim seats (pre-Taif)]
-
A.
parliamentaryComposition
chosen
Indicates the makeup or distribution of seats and parties within a parliamentary body at a given time.
-
B.
parliamentarySeats
Indicates the number of seats a party, group, or representative holds in a parliamentary body.
-
C.
resultingParliamentCharacterization
Indicates how the composition, qualities, or overall nature of a parliament is characterized as a result of a preceding event or process.
-
D.
parliamentarySeatCount
Indicates the number of seats a party, group, or entity holds in a parliamentary body.
-
E.
numberOfParliaments
Indicates the count of distinct parliaments associated with or relevant to a given 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:31 p.m.