Triple
T38476706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolution DLC pack |
E915567
|
entity |
| Predicate | weaponIncluded |
P165494
|
FINISHED |
| Object | Peacekeeper SMG |
—
|
NE NERFINISHED |
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: Peacekeeper SMG | Statement: [Revolution DLC pack, weaponIncluded, Peacekeeper SMG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponIncluded Context triple: [Revolution DLC pack, weaponIncluded, Peacekeeper SMG]
-
A.
weaponryCarried
chosen
Indicates that one entity is carrying or equipped with a weapon or set of weapons in relation to another entity or context.
-
B.
weaponDepicted
Indicates that a weapon is visually represented or shown in association with an entity.
-
C.
armedBy
Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
-
D.
weaponUsedIn
Indicates that a particular weapon is employed or involved in carrying out a specific event or action.
-
E.
weaponUsedOn
Indicates that a particular weapon was employed or applied against a specific target or entity.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.