Triple
T10034370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spacer worlds |
E204925
|
entity |
| Predicate | populationTrendInNarrative |
P31774
|
FINISHED |
| Object | declining or stagnant over time |
—
|
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: declining or stagnant over time | Statement: [Spacer worlds, populationTrendInNarrative, declining or stagnant over time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationTrendInNarrative Context triple: [Spacer worlds, populationTrendInNarrative, declining or stagnant over time]
-
A.
approximatePopulationTrend
chosen
Indicates an estimated or generalized pattern of how a population changes over time (e.g., increasing, decreasing, or stable) rather than an exact count.
-
B.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
C.
populationPattern
Indicates how a population is distributed, structured, or changes over space or time in relation to other entities or conditions.
-
D.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
-
E.
population
Indicates the total number of individuals living in or present within a specified area or group.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce490ff08190963d841b05d150a7 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.