Triple
T11640140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tromsø IL |
E276636
|
entity |
| Predicate | homeCityLatitude |
P100131
|
FINISHED |
| Object | approximately 69.65 N |
—
|
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: approximately 69.65 N | Statement: [Tromsø IL, homeCityLatitude, approximately 69.65 N]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCityLatitude Context triple: [Tromsø IL, homeCityLatitude, approximately 69.65 N]
-
A.
homeCityMetropolitanArea
Indicates that a specified city serves as the primary metropolitan area associated with a given entity’s home location.
-
B.
nativeCity
Indicates that a city is the place where a person was born or is originally from.
-
C.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
D.
isNorthernmostCityOf
Indicates that a city is the one located furthest to the north within a specified region, area, or set of cities.
-
E.
cityOfReference
Indicates that one entity serves as the primary or official city associated with, or used as a reference point for, another entity.
- F. None of above. chosen
Provenance (4 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.