Triple
T6672621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leven, Fife |
E151766
|
entity |
| Predicate | hasPromenade |
P12289
|
FINISHED |
| Object |
Leven Promenade
Leven Promenade is a coastal walkway and recreational seafront area in the town of Leven in Fife, Scotland.
|
E611598
|
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: Leven Promenade | Statement: [Leven, Fife, hasPromenade, Leven Promenade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leven Promenade Context triple: [Leven, Fife, hasPromenade, Leven Promenade]
-
A.
Scheveningen Boulevard
Scheveningen Boulevard is a popular seaside promenade in The Hague, Netherlands, known for its beaches, restaurants, and coastal attractions.
-
B.
Mainuferpromenade
Mainuferpromenade is a riverside promenade along the Main River in Frankfurt, known for its scenic views, museums, and leisure activities.
-
C.
Europaplein
Europaplein is a metro station in Amsterdam that serves as one of the stops on the city’s North–South Line (Metro line 52).
-
D.
Zeestraet
Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
-
E.
Muntplein
Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
- 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: Leven Promenade Triple: [Leven, Fife, hasPromenade, Leven Promenade]
Generated description
Leven Promenade is a coastal walkway and recreational seafront area in the town of Leven in Fife, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leven Promenade Target entity description: Leven Promenade is a coastal walkway and recreational seafront area in the town of Leven in Fife, Scotland.
-
A.
Scheveningen Boulevard
Scheveningen Boulevard is a popular seaside promenade in The Hague, Netherlands, known for its beaches, restaurants, and coastal attractions.
-
B.
Mainuferpromenade
Mainuferpromenade is a riverside promenade along the Main River in Frankfurt, known for its scenic views, museums, and leisure activities.
-
C.
Europaplein
Europaplein is a metro station in Amsterdam that serves as one of the stops on the city’s North–South Line (Metro line 52).
-
D.
Zeestraet
Zeestraet is a notable poem by Dutch Golden Age poet Constantijn Huygens, often recognized for its vivid maritime imagery and refined Baroque style.
-
E.
Muntplein
Muntplein is a central square in Amsterdam, known as a busy traffic hub near the historic city center and the Munttoren (Mint Tower).
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0cb78b08190923685712cbba5d8 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79f1718819098d8a6d08bf7f919 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8b1e1f48190bc9058a8a21a4a62 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9441d74819098f0639a29fdeb5e |
completed | March 27, 2026, 9:40 p.m. |
Created at: March 27, 2026, 2:03 p.m.