Triple
T6468753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progressive Socialist Party militia |
E142294
|
entity |
| Predicate | ethnoReligiousComposition |
P62585
|
FINISHED |
| Object | predominantly Druze |
—
|
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: predominantly Druze | Statement: [Progressive Socialist Party militia, ethnoReligiousComposition, predominantly Druze]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnoReligiousComposition Context triple: [Progressive Socialist Party militia, ethnoReligiousComposition, predominantly Druze]
-
A.
religiousCompositionHistorical
Indicates the historical distribution or makeup of religious affiliations within a population or group over time.
-
B.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
C.
ethnicOrReligiousGroup
chosen
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
-
D.
populationShareOfMuslims
Indicates the proportion of a given population that is composed of Muslims.
-
E.
hasEthnoReligiousDimension
Indicates that the relationship, event, or phenomenon involves or is characterized by an ethnic and/or religious aspect or component.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a16272c81909313455002cd884d |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.