Triple
T6468786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progressive Socialist Party militia |
E142294
|
entity |
| Predicate | armedStrength |
P6664
|
FINISHED |
| Object | several thousand fighters at peak |
—
|
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: several thousand fighters at peak | Statement: [Progressive Socialist Party militia, armedStrength, several thousand fighters at peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armedStrength Context triple: [Progressive Socialist Party militia, armedStrength, several thousand fighters at peak]
-
A.
strengthType
Indicates the specific category or nature of strength associated with an entity or relationship (e.g., physical, structural, or conceptual strength).
-
B.
armed
Indicates that an entity is equipped with or carrying a weapon or weapons.
-
C.
armedBy
Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
-
D.
strengthGovernmentForces
Indicates the level or degree of military or coercive power held or exerted by government forces in a given context.
-
E.
strength
chosen
Indicates the degree of power, intensity, or effectiveness with which an entity can act on, influence, or withstand another entity or force.
- 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.