Triple
T25084481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gargunnock |
E628274
|
entity |
| Predicate | hasApproximatePopulationScale |
P17235
|
FINISHED |
| Object | village-scale population |
—
|
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: village-scale population | Statement: [Gargunnock, hasApproximatePopulationScale, village-scale population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximatePopulationScale Context triple: [Gargunnock, hasApproximatePopulationScale, village-scale population]
-
A.
hasPopulationScale
chosen
Indicates the relative size or magnitude of a population associated with an entity, typically expressed as a qualitative or categorical scale.
-
B.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
C.
peakPopulationApproximate
Indicates that the peak population of an entity is known only approximately rather than as an exact value.
-
D.
hasApproximateNumberOfPeople
Indicates that an entity is associated with an estimated or approximate count of people, rather than an exact number.
-
E.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
- 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461e298948190b445592edbf69a2b |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:23 a.m.