Triple
T18162839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almere |
E434809
|
entity |
| Predicate | populationRankInFlevoland |
P25930
|
FINISHED |
| Object | largest city in Flevoland |
—
|
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: largest city in Flevoland | Statement: [Almere, populationRankInFlevoland, largest city in Flevoland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInFlevoland Context triple: [Almere, populationRankInFlevoland, largest city in Flevoland]
-
A.
chartPositionBelgiumFlanders
Indicates the position or ranking something holds on the music charts specifically in the Flanders region of Belgium.
-
B.
areaInundatedNetherlands
Indicates the extent of land in the Netherlands that is covered or flooded by water.
-
C.
populationRankInFlorida
Indicates the relative position of an entity in a ranking based on its population size within the state of Florida.
-
D.
isInPolderRegion
Indicates that one entity is located within a polder region, i.e., land reclaimed from a body of water and typically protected by dikes.
-
E.
hasPopulationRankInRegion
chosen
Indicates that an entity has a specific population-based rank or position within a defined geographic region.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec419788190a999a68f32fab39b |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.