Triple
T25703915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brobdingnag |
E644535
|
entity |
| Predicate | scaleOfInhabitants |
P17235
|
FINISHED |
| Object | about 12 times human size |
—
|
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: about 12 times human size | Statement: [Brobdingnag, scaleOfInhabitants, about 12 times human size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleOfInhabitants Context triple: [Brobdingnag, scaleOfInhabitants, about 12 times human size]
-
A.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
-
B.
hostsPopulation
Indicates that an entity serves as the living environment or container in which a particular population exists or resides.
-
C.
hasPopulationScale
chosen
Indicates the relative size or magnitude of a population associated with an entity, typically expressed as a qualitative or categorical scale.
-
D.
languageInhabitants
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
-
E.
populationRange
Indicates the numerical interval within which the size of a population falls.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc0f911c819083ea7748550df1d0 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 9 p.m.