Triple
T9053513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamahiriya (state of the masses) |
E216941
|
entity |
| Predicate | claimsToEliminate |
P86111
|
FINISHED |
| Object | political representation |
—
|
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: political representation | Statement: [Jamahiriya (state of the masses), claimsToEliminate, political representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claimsToEliminate Context triple: [Jamahiriya (state of the masses), claimsToEliminate, political representation]
-
A.
claimsToMark
Indicates that one entity asserts or alleges that it has marked, labeled, or designated another entity in some specified way.
-
B.
claimsToBe
Indicates that one entity asserts or declares itself to have a particular identity, role, or property, regardless of whether this assertion is true.
-
C.
claimsToExplain
Indicates that one entity asserts it can provide a clarification, account, or understanding of another entity or phenomenon.
-
D.
claimsToModify
Indicates that one entity asserts it can change, alter, or adjust another entity or its properties.
-
E.
claimsToImprove
Indicates that one entity asserts or promises that it will enhance, benefit, or make another entity better in some way.
- F. None of above. chosen
Provenance (4 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a71a9d88190949ef9dc6816d6ab |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f4f1cb48190a025d1b3d8d7a790 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:10 p.m.