Triple
T16182264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Målselva |
E392712
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Olsborg
Olsborg is a small village in Målselv Municipality in Troms og Finnmark county in northern Norway.
|
E1199287
|
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: Olsborg | Statement: [Målselva, locatedNear, Olsborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olsborg Context triple: [Målselva, locatedNear, Olsborg]
-
A.
Norsborg
Norsborg is a suburban district in Botkyrka Municipality, southwest of central Stockholm, Sweden, known as the terminus area of the Stockholm metro’s red line.
-
B.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
C.
Fagerborg
Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
-
D.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
E.
Sölvesborg
Sölvesborg is a coastal town in southern Sweden known for its medieval architecture, historic town center, and location on the Baltic Sea in Blekinge County.
- 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: Olsborg Triple: [Målselva, locatedNear, Olsborg]
Generated description
Olsborg is a small village in Målselv Municipality in Troms og Finnmark county in northern Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olsborg Target entity description: Olsborg is a small village in Målselv Municipality in Troms og Finnmark county in northern Norway.
-
A.
Norsborg
Norsborg is a suburban district in Botkyrka Municipality, southwest of central Stockholm, Sweden, known as the terminus area of the Stockholm metro’s red line.
-
B.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
C.
Fagerborg
Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
-
D.
Flesberg
Flesberg is a rural municipality in southeastern Norway known for its forests, traditional wooden architecture, and location in the Numedal valley.
-
E.
Sölvesborg
Sölvesborg is a coastal town in southern Sweden known for its medieval architecture, historic town center, and location on the Baltic Sea in Blekinge County.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205d858c8190802d44e08e3cdcd6 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff03400481908e66db8cf0213c15 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0000ceba648190ac5ecefd34f10d4e |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00013fdb1c8190add653fc1cf30e44 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:02 a.m.