Triple
T14028574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sør-Fron |
E337527
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Hundorp
Hundorp is a village in Innlandet county, Norway, known as an administrative and historical center in the Gudbrandsdalen valley.
|
E1074838
|
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: Hundorp | Statement: [Sør-Fron, capital, Hundorp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hundorp Context triple: [Sør-Fron, capital, Hundorp]
-
A.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Heerdt
Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
-
C.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
-
D.
Hulten
Hulten is a small village in the Dutch province of North Brabant, located within the municipality of Gilze en Rijen.
-
E.
Humansdorp
Humansdorp is a small town in South Africa’s Eastern Cape, known as an agricultural and dairy-farming center near the coastal resort area of Jeffreys Bay.
- 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: Hundorp Triple: [Sør-Fron, capital, Hundorp]
Generated description
Hundorp is a village in Innlandet county, Norway, known as an administrative and historical center in the Gudbrandsdalen valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hundorp Target entity description: Hundorp is a village in Innlandet county, Norway, known as an administrative and historical center in the Gudbrandsdalen valley.
-
A.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
B.
Heerdt
Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
-
C.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
-
D.
Hulten
Hulten is a small village in the Dutch province of North Brabant, located within the municipality of Gilze en Rijen.
-
E.
Humansdorp
Humansdorp is a small town in South Africa’s Eastern Cape, known as an agricultural and dairy-farming center near the coastal resort area of Jeffreys Bay.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc335a474819084c310b10e0ded9a |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc51585608190817e9a80666b7740 |
completed | May 6, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc57bf4188190aace2c976d842b43 |
completed | May 6, 2026, 10:49 p.m. |
Created at: April 9, 2026, 10:20 p.m.