Triple
T34140919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helagsfjället |
E875714
|
entity |
| Predicate | nearestMountainStation |
P84030
|
FINISHED |
| Object |
Helags Mountain Station
Helags Mountain Station is a popular Swedish mountain lodge and hiking base located near Helagsfjället in the Scandinavian Mountains.
|
E2083261
|
NE FINISHED |
How this triple was built (3 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: Helags Mountain Station | Statement: [Helagsfjället, nearestMountainStation, Helags Mountain Station]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Helags Mountain Station Triple: [Helagsfjället, nearestMountainStation, Helags Mountain Station]
Generated description
Helags Mountain Station is a popular Swedish mountain lodge and hiking base located near Helagsfjället in the Scandinavian Mountains.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMountainStation Context triple: [Helagsfjället, nearestMountainStation, Helags Mountain Station]
-
A.
upperStationElevation
Indicates the elevation or height above a reference level (e.g., sea level) of the upper station in a system or structure.
-
B.
nearbySummit
Indicates that one summit is located close to another summit in geographic space.
-
C.
hasNearestMountain
Indicates that one entity is the closest mountain geographically relative to another entity.
-
D.
hasMountainStation
chosen
Indicates that an entity possesses or is associated with a station located in a mountainous area.
-
E.
hasHighestPointNear
Indicates that one entity’s highest point is located close to another specified entity or location.
- F. None of above.
Provenance (6 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b77e8b608190b2112038544220bb |
completed | June 20, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_6a36ba5a72b08190bc01f0499d3034b0 |
completed | June 20, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36bab72ed08190a3db536fb3021b71 |
completed | June 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: May 1, 2026, 1:54 a.m.