Triple
T7146653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black robin |
E166585
|
entity |
| Predicate | populationLowPoint |
P75104
|
FINISHED |
| Object | 5 individuals |
—
|
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: 5 individuals | Statement: [Black robin, populationLowPoint, 5 individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationLowPoint Context triple: [Black robin, populationLowPoint, 5 individuals]
-
A.
populationRange
Indicates the numerical interval within which the size of a population falls.
-
B.
hasVerySmallResidentPopulation
Indicates that the subject location has a resident population that is extremely small in size.
-
C.
populationThreshold
Indicates that a population has reached, exceeded, or fallen below a specified numerical limit used as a critical or decision-making boundary.
-
D.
isLessPopulousThan
Indicates that one entity has a smaller population size than another entity.
-
E.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d4f3388190941f03fd80b0c223 |
completed | March 27, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c932888190b125ca3785b18553 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:46 p.m.