Triple
T36963457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dust District |
E914365
|
entity |
| Predicate | gameChapterRole |
P40238
|
FINISHED |
| Object | main mission location |
—
|
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: main mission location | Statement: [Dust District, gameChapterRole, main mission location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameChapterRole Context triple: [Dust District, gameChapterRole, main mission location]
-
A.
gameChapter
Indicates that one entity is a chapter, level, or segment that forms part of the progression or structure of a game.
-
B.
gameChapterRelevance
Indicates how strongly a particular chapter is related or important to a specific game.
-
C.
roleInChapter
chosen
Indicates the specific function, position, or part an entity has within a particular chapter of a work.
-
D.
rankWithinChapter
Indicates the relative ordering or position of an item among other items within the same chapter.
-
E.
chapterOn
Indicates that one entity (typically a chapter) is about, discusses, or focuses on the subject represented by another 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.