Triple
T5402037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dead by Daylight |
E120798
|
entity |
| Predicate | DLCType |
P39175
|
FINISHED |
| Object | chapter DLC |
—
|
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: chapter DLC | Statement: [Dead by Daylight, DLCType, chapter DLC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DLCType Context triple: [Dead by Daylight, DLCType, chapter DLC]
-
A.
hasDLC
chosen
Indicates that one entity includes, is associated with, or is supplemented by another entity as downloadable content.
-
B.
partDType
Indicates that one entity is classified as a specific subtype or category (type) of a part in relation to another entity.
-
C.
hasDuneType
Indicates that one entity is characterized by or associated with a specific type or classification of dune.
-
D.
deltaType
Indicates a classification of the kind or category of change (difference) that has occurred between two related states or versions.
-
E.
TLDCategory
Indicates the classification or type assigned to a top-level domain (TLD) within a domain name system taxonomy.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.