Triple
T4100078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Senate of Bermuda |
E87918
|
entity |
| Predicate | mustNotBe |
P39890
|
FINISHED |
| Object | member of the House of Assembly of Bermuda |
—
|
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: member of the House of Assembly of Bermuda | Statement: [President of the Senate of Bermuda, mustNotBe, member of the House of Assembly of Bermuda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustNotBe Context triple: [President of the Senate of Bermuda, mustNotBe, member of the House of Assembly of Bermuda]
-
A.
mayNot
chosen
Indicates that an entity is not permitted or is prohibited from performing a particular action or entering into a specified relationship.
-
B.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
C.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
D.
mustRespect
Indicates that one entity is obligated to show respect or deference toward another entity.
-
E.
doesNotAllow
Indicates that one entity prevents, forbids, or does not permit another entity from performing a specific action or being in a certain state.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0d9c508190b8aedf83f3310513 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.