Triple
T4182293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Petersburg Oblast |
E88221
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Murino
Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
|
E419448
|
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: Murino | Statement: [Saint Petersburg Oblast, contains, Murino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murino Context triple: [Saint Petersburg Oblast, contains, Murino]
-
A.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
B.
Ainshval
Ainshval is a prominent mountain peak on the Isle of Rum in Scotland’s rugged Cuillin range, known for its steep slopes and striking views.
-
C.
Rossikon
Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
-
D.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
-
E.
Arenenberg
Arenenberg is a historic estate on the shores of Lake Constance in Switzerland, best known as the residence and later death place of Queen Hortense de Beauharnais and a key site of Napoleonic-era history.
- 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: Murino Triple: [Saint Petersburg Oblast, contains, Murino]
Generated description
Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murino Target entity description: Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
-
A.
Arogno
Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
-
B.
Ainshval
Ainshval is a prominent mountain peak on the Isle of Rum in Scotland’s rugged Cuillin range, known for its steep slopes and striking views.
-
C.
Rossikon
Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
-
D.
Seebruck
Seebruck is a Bavarian lakeside village and popular holiday resort on the northern shore of Lake Chiemsee in southern Germany.
-
E.
Arenenberg
Arenenberg is a historic estate on the shores of Lake Constance in Switzerland, best known as the residence and later death place of Queen Hortense de Beauharnais and a key site of Napoleonic-era history.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0305e2e88190a51f176f8534f1f9 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589fbcc5881908f245bb377082dcc |
completed | March 14, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69b58b22a1d88190a16e1c1e41291f5a |
completed | March 14, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b8bfb288190a097942b5b8c366e |
completed | March 14, 2026, 4:23 p.m. |
Created at: March 9, 2026, 3:45 p.m.