Triple
T4376836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothenburger |
E99026
|
entity |
| Predicate | cityRankInSweden |
P28749
|
FINISHED |
| Object | second-largest city |
—
|
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: second-largest city | Statement: [Gothenburger, cityRankInSweden, second-largest city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityRankInSweden Context triple: [Gothenburger, cityRankInSweden, second-largest city]
-
A.
cityRankInSwedenBySize
chosen
Indicates the relative position of a city in Sweden when cities are ordered by their size (typically population or area).
-
B.
distanceFromStockholmCityCentre
Indicates the measured distance between a given location and the center of Stockholm city.
-
C.
chartPositionSweden
Indicates the position or ranking something holds on a music or sales chart specifically in Sweden.
-
D.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
E.
citySigned
Indicates that a city has formally signed or endorsed an agreement, document, or commitment.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523ed220819090cef1a7933489d9 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.