Triple
T27124433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byxelkrok |
E687084
|
entity |
| Predicate | summerPopulationIncreases |
P142454
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Byxelkrok, summerPopulationIncreases, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summerPopulationIncreases Context triple: [Byxelkrok, summerPopulationIncreases, true]
-
A.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
B.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
C.
hasTemporaryPopulationIncrease
chosen
Indicates a relationship where an entity experiences a non-permanent rise in the number of people present, typically due to short-term events, seasons, or activities.
-
D.
summerPeak
Indicates that something reaches its highest level, intensity, or activity during the summer season.
-
E.
winterPopulationApprox
Indicates an approximate count or estimate of a population present during the winter season.
- 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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6244611048190aa6c58e99418827f |
completed | May 2, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9 a.m.