Triple
T35015750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmworld Jake |
E1010048
|
entity |
| Predicate | setInTimeline |
P137723
|
FINISHED |
| Object | post-apocalyptic timeline |
—
|
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: post-apocalyptic timeline | Statement: [Farmworld Jake, setInTimeline, post-apocalyptic timeline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setInTimeline Context triple: [Farmworld Jake, setInTimeline, post-apocalyptic timeline]
-
A.
entersTimeline
Indicates that an entity begins to appear or be included at a specific point within a timeline or chronological sequence.
-
B.
setIndependenceTimeline
Indicates establishing or updating the sequence and timing of events related to an entity’s independence.
-
C.
setInEvent
Indicates that an entity is situated within, occurs during, or is contextually located in a particular event.
-
D.
setInPart
Indicates that something is located or placed within a specific part or section of a larger whole.
-
E.
chronologicallySetIn
chosen
Indicates that one event, scene, or narrative is situated at a specific point or period in time relative to a broader temporal context.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.