Triple
T20682182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Järla station |
E508317
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Järla
Järla is a district in Nacka Municipality near Stockholm, Sweden, known for its residential areas and proximity to local rail and bus connections.
|
E1444155
|
NE FINISHED |
How this triple was built (4 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: Järla | Statement: [Järla station, locatedIn, Järla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Järla Context triple: [Järla station, locatedIn, Järla]
-
A.
Hjerkinn
Hjerkinn is a small mountain village in central Norway, known as a gateway to the Dovrefjell plateau and its surrounding national parks and hiking areas.
-
B.
Fræna
Fræna is a former coastal municipality in western Norway known for its rugged shoreline, fishing communities, and scenic North Atlantic landscapes.
-
C.
Reykvíkingur
Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
-
D.
Elduvík
Elduvík is a small coastal village in the Faroe Islands known for its traditional turf-roofed houses and scenic fjord-side setting.
-
E.
Heddøla
Heddøla is a river in Telemark, Norway, that serves as one of the tributaries feeding into Lake Norsjø.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Järla Triple: [Järla station, locatedIn, Järla]
Generated description
Järla is a district in Nacka Municipality near Stockholm, Sweden, known for its residential areas and proximity to local rail and bus connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Järla Target entity description: Järla is a district in Nacka Municipality near Stockholm, Sweden, known for its residential areas and proximity to local rail and bus connections.
-
A.
Hjerkinn
Hjerkinn is a small mountain village in central Norway, known as a gateway to the Dovrefjell plateau and its surrounding national parks and hiking areas.
-
B.
Fræna
Fræna is a former coastal municipality in western Norway known for its rugged shoreline, fishing communities, and scenic North Atlantic landscapes.
-
C.
Reykvíkingur
Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
-
D.
Elduvík
Elduvík is a small coastal village in the Faroe Islands known for its traditional turf-roofed houses and scenic fjord-side setting.
-
E.
Heddøla
Heddøla is a river in Telemark, Norway, that serves as one of the tributaries feeding into Lake Norsjø.
- F. None of above. chosen
Provenance (5 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea842dc81908106a0c29d1577aa |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6f0ca88190972ddf687eabcf4d |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:45 a.m.