Triple
T3590518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plain (La Plaine) |
E76013
|
entity |
| Predicate | locatedInChamber |
P45158
|
FINISHED |
| Object | center benches of the Convention |
—
|
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: center benches of the Convention | Statement: [Plain (La Plaine), locatedInChamber, center benches of the Convention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInChamber Context triple: [Plain (La Plaine), locatedInChamber, center benches of the Convention]
-
A.
positionInChamber
chosen
Indicates the specific location or role an entity holds within a particular chamber or assembly.
-
B.
chamberedFor
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
-
C.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
-
D.
belongsToChamber
Indicates that an entity is a member of, or is formally associated with, a specific chamber or legislative body.
-
E.
includesChamber
Indicates that one entity contains or encompasses a specific chamber as part of its structure or composition.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1581278819081dd73b4c71e422e |
completed | March 8, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.