Triple
T6426066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namdalen |
E128060
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Grong
Grong is a rural municipality in Trøndelag county, central Norway, known for its forests, rivers, and role as a regional transport and service center in the Namdalen district.
|
E592931
|
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: Grong | Statement: [Namdalen, containsMunicipality, Grong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grong Context triple: [Namdalen, containsMunicipality, Grong]
-
A.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
-
B.
Broglien
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
-
C.
Drongen
Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
-
D.
Gaten
Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
-
E.
Grocka
Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
- 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: Grong Triple: [Namdalen, containsMunicipality, Grong]
Generated description
Grong is a rural municipality in Trøndelag county, central Norway, known for its forests, rivers, and role as a regional transport and service center in the Namdalen district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grong Target entity description: Grong is a rural municipality in Trøndelag county, central Norway, known for its forests, rivers, and role as a regional transport and service center in the Namdalen district.
-
A.
Gruden
Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
-
B.
Broglien
A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
-
C.
Drongen
Drongen is a district of the Belgian city of Ghent, known as a suburban area in East Flanders.
-
D.
Gaten
Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
-
E.
Grocka
Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691f944c81909d4e5d8ef9e494b6 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e339108190bbb74c688de574cc |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c644a514f48190832bd628a071be46 |
completed | March 27, 2026, 8:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64527d1f88190b3b6f9a455f4ffce |
completed | March 27, 2026, 8:51 a.m. |
Created at: March 22, 2026, 4:43 p.m.