Triple
T37503491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salvation |
E932031
|
entity |
| Predicate | DLCNumber |
P188406
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Salvation, DLCNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DLCNumber Context triple: [Salvation, DLCNumber, 4]
-
A.
DLCName
Indicates that the associated value is the name or title of a specific downloadable content (DLC) package related to the entity.
-
B.
hasDLC
Indicates that one entity includes, is associated with, or is supplemented by another entity as downloadable content.
-
C.
BDNumber
Indicates that an entity is associated with a specific BD (Business Development or similar domain-specific) identification number used to uniquely reference it.
-
D.
DKNumber
Indicates a numerical identifier or value associated with an entity within the DK (domain-specific) system.
-
E.
LAHCMNumber
Indicates that an entity has a specific LAHCM (likely a local or organizational) identification number assigned to it.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba67f78348190ab160988e4698394 |
completed | May 6, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.