Triple
T30495868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ba'athism |
E776002
|
entity |
| Predicate | seeksToUnify |
P62056
|
FINISHED |
| Object | Arab-speaking countries |
—
|
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: Arab-speaking countries | Statement: [Ba'athism, seeksToUnify, Arab-speaking countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksToUnify Context triple: [Ba'athism, seeksToUnify, Arab-speaking countries]
-
A.
aimedToUnify
chosen
Indicates an intention or effort by one entity to bring multiple entities, groups, or elements together into a single unified whole.
-
B.
unificationType
Indicates the specific manner or category in which two or more entities are combined, merged, or treated as a single unified whole.
-
C.
unificationPrinciple
Indicates that multiple entities, concepts, or elements are brought together into a single, coherent whole according to a common principle or framework.
-
D.
unificationPossible
Indicates that two entities can be combined or reconciled into a single, consistent representation under a shared set of constraints or rules.
-
E.
wasUnifiedWith
Indicates that two or more previously separate entities were brought together to form a single unified whole.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6877beac8819088e18617985213a8 |
completed | May 2, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:14 p.m.