Triple
T1240964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanese Civil War |
E26655
|
entity |
| Predicate | politicalDimension |
P15842
|
FINISHED |
| Object | left–right ideological 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: left–right ideological conflict | Statement: [Lebanese Civil War, politicalDimension, left–right ideological conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalDimension Context triple: [Lebanese Civil War, politicalDimension, left–right ideological conflict]
-
A.
politicalSide
Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
-
B.
politicalSphere
Indicates involvement or relevance within the domain of politics, governance, or public policy activities and interactions.
-
C.
politicalSideDepicted
Indicates that one entity portrays, represents, or visually depicts the political alignment, ideology, or side associated with another entity.
-
D.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
E.
politicalPattern
Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf4343e48190a232abd8475880a0 |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.