Triple
T34641595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libria |
E889572
|
entity |
| Predicate | populationCondition |
P193081
|
FINISHED |
| Object | emotionless |
—
|
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: emotionless | Statement: [Libria, populationCondition, emotionless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationCondition Context triple: [Libria, populationCondition, emotionless]
-
A.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
B.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
C.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
D.
populationState
Indicates the condition or status of a population at a given point in time, such as its size, distribution, or demographic characteristics.
-
E.
populationShareApproximate
Indicates that one entity’s share of a total population is approximately equal to a specified proportion or percentage, allowing for some margin of error.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69fd37b45b4481908b947b52fbcb7ade |
completed | May 8, 2026, 1:09 a.m. |
Created at: May 1, 2026, 2:04 a.m.