Triple
T34797547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nords |
E1003131
|
entity |
| Predicate | primaryWeaponPreference |
P7745
|
FINISHED |
| Object | two-handed weapons |
—
|
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: two-handed weapons | Statement: [Nords, primaryWeaponPreference, two-handed weapons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryWeaponPreference Context triple: [Nords, primaryWeaponPreference, two-handed weapons]
-
A.
weaponPreference
Indicates a relationship where an entity favors or typically uses a particular type of weapon over others.
-
B.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
C.
weaponDepicted
Indicates that a weapon is visually represented or shown in association with an entity.
-
D.
primaryArms
Indicates that the subject possesses or uses the specified arms or weapons as its main or most important set.
-
E.
typicalWeapon
chosen
Indicates that the object is a weapon commonly or characteristically used by the subject.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 3:59 p.m.