Triple
T35015263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmworld universe |
E1010035
|
entity |
| Predicate | toneComparedToMainTimeline |
P182010
|
FINISHED |
| Object | darker |
—
|
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: darker | Statement: [Farmworld universe, toneComparedToMainTimeline, darker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toneComparedToMainTimeline Context triple: [Farmworld universe, toneComparedToMainTimeline, darker]
-
A.
timeScaleComparedTo
Indicates how the temporal scale or duration of one entity or process relates to that of another (e.g., faster, slower, longer, shorter, or at a different granularity).
-
B.
timeBehind
Indicates that one entity occurs or is positioned later in time than another, lagging behind it on a temporal scale.
-
C.
timeSignificance
Indicates the degree to which a specific point or interval in time is important, impactful, or meaningful within a given context.
-
D.
chronologyWithinMovement
Indicates that one event or work occurs at a specific temporal position within the broader timeline of a particular movement.
-
E.
entersTimeline
Indicates that an entity begins to appear or be included at a specific point within a timeline or chronological sequence.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.