Triple
T22545549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christiania, Norway |
E557412
|
entity |
| Predicate | largestCityStatus |
P235
|
FINISHED |
| Object | largest city in Norway |
—
|
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 Norway | Statement: [Christiania, Norway, largestCityStatus, largest city in Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestCityStatus Context triple: [Christiania, Norway, largestCityStatus, largest city in Norway]
-
A.
isLargestCityIn
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
B.
largestCity
chosen
Indicates that one city is the most populous or significant urban center within a specified region or entity.
-
C.
isLargestTownOn
Indicates that one town is the largest (by size, population, or another defined measure) among all towns located on a specified geographic feature or area.
-
D.
capitalIsLargestCity
Indicates that the capital city of a region or country is also its most populous or largest city.
-
E.
largestMetropolitanArea
Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f35b9888190b4e1b50d5097b211 |
completed | April 29, 2026, 1:30 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.