Triple
T2486477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghan Civil War |
E55937
|
entity |
| Predicate | majorCombatant |
P3861
|
FINISHED |
| Object | mujahideen factions |
—
|
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: mujahideen factions | Statement: [Afghan Civil War, majorCombatant, mujahideen factions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorCombatant Context triple: [Afghan Civil War, majorCombatant, mujahideen factions]
-
A.
mainCombatant
chosen
Indicates that the subject is the primary participant or leading party in a conflict, battle, or combat situation involving the object.
-
B.
combatant2Commander
Indicates that a combatant serves under the authority or command of a specific commander.
-
C.
combatantsIncluded
Indicates that the specified entities are participants or parties involved in a particular combat or conflict.
-
D.
notableBattleRole
Indicates the specific role or function an entity played in a notable or historically significant battle.
-
E.
combatantStrength
Indicates the relative level of power, capability, or effectiveness one combatant has in a conflict or confrontation compared to others.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.