Triple
T9558058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broye district (Fribourg) |
E230592
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object |
Murist
Murist is a small municipality in the canton of Fribourg in western Switzerland, situated within the Broye district.
|
E806455
|
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: Murist | Statement: [Broye district (Fribourg), containsPart, Murist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murist Context triple: [Broye district (Fribourg), containsPart, Murist]
-
A.
Merimasku
Merimasku is a small coastal locality and former municipality in southwestern Finland known for its archipelago landscape and maritime character.
-
B.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
-
C.
Murqmeli
Murqmeli is one of the historic village settlements that make up the high-altitude Svan community of Ushguli in Georgia’s Caucasus Mountains.
-
D.
Matsesta
Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
-
E.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
- 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: Murist Triple: [Broye district (Fribourg), containsPart, Murist]
Generated description
Murist is a small municipality in the canton of Fribourg in western Switzerland, situated within the Broye district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murist Target entity description: Murist is a small municipality in the canton of Fribourg in western Switzerland, situated within the Broye district.
-
A.
Merimasku
Merimasku is a small coastal locality and former municipality in southwestern Finland known for its archipelago landscape and maritime character.
-
B.
Muster
Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
-
C.
Murqmeli
Murqmeli is one of the historic village settlements that make up the high-altitude Svan community of Ushguli in Georgia’s Caucasus Mountains.
-
D.
Matsesta
Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
-
E.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99487b4c819086e02e29e37b593f |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15296303c8190adda4b24036d9390 |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d1539bad8481909f9bd060aa3b651c |
completed | April 4, 2026, 6:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d154567f408190a848eea4ca905fb6 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:03 p.m.