Triple
T12402289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Luxembourg |
E296286
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object |
Strassen
Strassen is a suburban commune in central Luxembourg, located just west of the capital city Luxembourg City.
|
E981356
|
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: Strassen | Statement: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Strassen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strassen Context triple: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Strassen]
-
A.
Babai
Babai is a small town in the Hoshangabad (Narmadapuram) district of Madhya Pradesh, India.
-
B.
Hirschberg
Hirschberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails within this volcanic low-mountain landscape.
-
C.
Toom
Toom is a diminutive form of the Estonian male given name Toomas, commonly used as a familiar or affectionate nickname.
-
D.
Charikar
Charikar is a city in northern Afghanistan that serves as the capital of Parwan Province and a key hub on the route between Kabul and the northern regions.
-
E.
Jacobi
Jacobi is a German surname most famously associated with the 19th-century mathematician Carl Gustav Jacob Jacobi, known for his foundational work in elliptic functions and number theory.
- 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: Strassen Triple: [Canton of Luxembourg, containsAdministrativeTerritorialEntity, Strassen]
Generated description
Strassen is a suburban commune in central Luxembourg, located just west of the capital city Luxembourg City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Strassen Target entity description: Strassen is a suburban commune in central Luxembourg, located just west of the capital city Luxembourg City.
-
A.
Babai
Babai is a small town in the Hoshangabad (Narmadapuram) district of Madhya Pradesh, India.
-
B.
Hirschberg
Hirschberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails within this volcanic low-mountain landscape.
-
C.
Toom
Toom is a diminutive form of the Estonian male given name Toomas, commonly used as a familiar or affectionate nickname.
-
D.
Charikar
Charikar is a city in northern Afghanistan that serves as the capital of Parwan Province and a key hub on the route between Kabul and the northern regions.
-
E.
Jacobi
Jacobi is a German surname most famously associated with the 19th-century mathematician Carl Gustav Jacob Jacobi, known for his foundational work in elliptic functions and number theory.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d477004819095e65ef6f70c69d9 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63484c6808190a71d24f8ee3a7e15 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f63675dbb08190b2711d1d58ffea9b |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6375cc6908190922825013e0b4000 |
completed | May 2, 2026, 5:41 p.m. |
Created at: April 8, 2026, 9:55 p.m.