Triple
T1941522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruges |
E41564
|
entity |
| Predicate | hasSquare |
P7888
|
FINISHED |
| Object |
Markt
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
|
E215712
|
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: Markt | Statement: [Bruges, hasSquare, Markt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markt Context triple: [Bruges, hasSquare, Markt]
-
A.
Marktplatz
Marktplatz was the historical central marketplace of Munich, later renamed Marienplatz, which has long served as the city’s main public square and social hub.
-
B.
Noordermarkt
Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
-
C.
Grüner Markt
Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
-
D.
Viktualienmarkt
Viktualienmarkt is a famous open-air food and produce market in the historic center of Munich, known for its diverse stalls, beer garden, and traditional Bavarian atmosphere.
-
E.
Innenstadt
Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
- 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: Markt Triple: [Bruges, hasSquare, Markt]
Generated description
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Markt Target entity description: Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
-
A.
Marktplatz
Marktplatz was the historical central marketplace of Munich, later renamed Marienplatz, which has long served as the city’s main public square and social hub.
-
B.
Noordermarkt
Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
-
C.
Grüner Markt
Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
-
D.
Viktualienmarkt
Viktualienmarkt is a famous open-air food and produce market in the historic center of Munich, known for its diverse stalls, beer garden, and traditional Bavarian atmosphere.
-
E.
Innenstadt
Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2fb21fc8190929ea4a87ef4402e |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3fa84e48190bac4d96aa3c3ec39 |
completed | March 8, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69adf443579081908c9ed58590b049c2 |
completed | March 8, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf4d1b7b88190b1c3f0fe62dc7d1b |
completed | March 8, 2026, 10:14 p.m. |
Created at: March 4, 2026, 7:36 p.m.