Triple
T26268784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lebanon |
E657059
|
entity |
| Predicate | hasPoliticalCommentaryOn |
P22246
|
FINISHED |
| Object | Middle East conflict |
—
|
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: Middle East conflict | Statement: [The Lebanon, hasPoliticalCommentaryOn, Middle East conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalCommentaryOn Context triple: [The Lebanon, hasPoliticalCommentaryOn, Middle East conflict]
-
A.
hasPoliticalCoverage
Indicates that one entity provides or includes reporting, analysis, or information about the political activities, positions, or affairs of another entity.
-
B.
hasCommentaryOn
chosen
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
C.
reflectsPoliticalViewsOf
Indicates that one entity’s opinions, statements, or representations express or mirror the political views held by another entity.
-
D.
hasPoliticalComponent
Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
-
E.
commentaryOn
Indicates that one entity provides evaluative or explanatory remarks about another entity, such as a work, event, or statement.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 26, 2026, 9:12 p.m.