Triple
T6620198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pregel River |
E149653
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Pregola
Pregola is the historical name of the Pregel River, a waterway in present-day Kaliningrad historically significant to the former East Prussian city of Königsberg.
|
E601146
|
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: Pregola | Statement: [Pregel River, historicalName, Pregola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pregola Context triple: [Pregel River, historicalName, Pregola]
-
A.
Regla
Regla is a coastal municipality of Havana, Cuba, known for its port, Afro-Cuban religious traditions, and location across the bay from Old Havana.
-
B.
Kural
Kural is the common short name for the Tirukkural, a classic Tamil text of concise couplets on ethics, governance, and love.
-
C.
Trikka
Trikka (also known as Trikala) is an ancient city in Thessaly, Greece, traditionally regarded as the birthplace and principal cult center of the healing god Asclepius.
-
D.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
-
E.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
- 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: Pregola Triple: [Pregel River, historicalName, Pregola]
Generated description
Pregola is the historical name of the Pregel River, a waterway in present-day Kaliningrad historically significant to the former East Prussian city of Königsberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pregola Target entity description: Pregola is the historical name of the Pregel River, a waterway in present-day Kaliningrad historically significant to the former East Prussian city of Königsberg.
-
A.
Regla
Regla is a coastal municipality of Havana, Cuba, known for its port, Afro-Cuban religious traditions, and location across the bay from Old Havana.
-
B.
Kural
Kural is the common short name for the Tirukkural, a classic Tamil text of concise couplets on ethics, governance, and love.
-
C.
Trikka
Trikka (also known as Trikala) is an ancient city in Thessaly, Greece, traditionally regarded as the birthplace and principal cult center of the healing god Asclepius.
-
D.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
-
E.
Poga
Poga is a genus of flowering plants in the family Anisophylleaceae, known for its tropical tree species.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7aff44819089da6145e1ef5f76 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbe2bcfc8190a3224c688443edc9 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:58 p.m.