Triple
T37143039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwarves of Belegost |
E920166
|
entity |
| Predicate | usedArmour |
P198641
|
FINISHED |
| Object | dragon-helmets |
—
|
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: dragon-helmets | Statement: [Dwarves of Belegost, usedArmour, dragon-helmets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedArmour Context triple: [Dwarves of Belegost, usedArmour, dragon-helmets]
-
A.
armour
Indicates that an entity provides protective covering or defense for another entity.
-
B.
wearsArmorOf
Indicates that one entity is equipped with or dressed in the specific armor that belongs to or is associated with another entity.
-
C.
wearsArmor
Indicates that an entity is equipped with or dressed in armor as protective gear.
-
D.
FrenchArmourUsed
Indicates that French-made armor was employed or utilized in a particular context or event.
-
E.
armorType
Indicates the specific category or classification of protective armor associated with an entity.
- F. None of above. chosen
Provenance (4 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
| PDg | Predicate description generation | batch_69fef8c2cdd881908c6f44e4dfa5ffd0 |
completed | May 9, 2026, 9:05 a.m. |
Created at: May 3, 2026, 4:15 p.m.