Triple
T4069729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senate of Grenada |
E86614
|
entity |
| Predicate | hasOppositeChamberType |
P39169
|
FINISHED |
| Object | elected lower house |
—
|
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: elected lower house | Statement: [Senate of Grenada, hasOppositeChamberType, elected lower house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOppositeChamberType Context triple: [Senate of Grenada, hasOppositeChamberType, elected lower house]
-
A.
oppositeChamber
chosen
Indicates that two legislative bodies or chambers are counterparts within the same bicameral system, each serving as the other’s opposite house.
-
B.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
C.
isLargerChamberOf
Indicates that one chamber or room has a greater size or capacity than another chamber.
-
D.
belongsToChamber
Indicates that an entity is a member of, or is formally associated with, a specific chamber or legislative body.
-
E.
appliesToChamber
Indicates that something is relevant or specifically associated with a particular chamber (such as a room, legislative body, or compartment).
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbfa45c88190b7b13b35de816378 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.