Triple
T26613947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moračani |
E668005
|
entity |
| Predicate | traditionalWeaponCulture |
P7745
|
FINISHED |
| Object | Balkan gun and dagger culture |
—
|
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: Balkan gun and dagger culture | Statement: [Moračani, traditionalWeaponCulture, Balkan gun and dagger culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalWeaponCulture Context triple: [Moračani, traditionalWeaponCulture, Balkan gun and dagger culture]
-
A.
typicalWeapon
chosen
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
B.
combatantCulture
Indicates the cultural background or tradition associated with a participant engaged in a conflict or combat situation.
-
C.
weaponDiscipline
Indicates that an entity practices, adheres to, or is governed by a particular system, style, or code of weapon use or combat training.
-
D.
featuredWeapon
Indicates that a particular weapon is highlighted or prominently showcased in relation to an entity, such as a character, event, or context.
-
E.
materialCultureFocus
Indicates a relationship where attention, study, or activity is centered on physical objects, artifacts, or tangible cultural materials.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
Created at: April 27, 2026, 2:17 a.m.