Triple
T26450459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristianstad |
E665332
|
entity |
| Predicate | populationRankInSkane |
P24333
|
FINISHED |
| Object | one of the larger towns in Skåne County |
—
|
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: one of the larger towns in Skåne County | Statement: [Kristianstad, populationRankInSkane, one of the larger towns in Skåne County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInSkane Context triple: [Kristianstad, populationRankInSkane, one of the larger towns in Skåne County]
-
A.
populationRankInCounty
chosen
Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
-
B.
populationRankInOhio
Indicates the relative ranking of an entity’s population size compared to other entities within the state of Ohio.
-
C.
populationRankAfter
Indicates the relative position of an entity in a population-based ordering that comes after another entity’s population rank.
-
D.
populationRankInPennsylvania
Indicates the relative position of an entity in terms of population size compared to other entities within Pennsylvania.
-
E.
countyRank
Indicates the relative position or standing of a county within a larger ordered set, typically based on some quantitative measure such as size, population, or performance.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 12:05 a.m.