Triple
T16092358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bydgoszcz |
E390387
|
entity |
| Predicate | hasNotableDistrict |
P295
|
FINISHED |
| Object |
Fordon
Fordon is a large residential and industrial district of Bydgoszcz in northern Poland, known for its post-war housing estates and location along the Vistula River.
|
E1194844
|
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: Fordon | Statement: [Bydgoszcz, hasNotableDistrict, Fordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fordon Context triple: [Bydgoszcz, hasNotableDistrict, Fordon]
-
A.
The Ford
The Ford is a small hamlet within the civil parish of Little Hadham in Hertfordshire, England.
-
B.
Whichford
Whichford is a small rural village and civil parish in Warwickshire, England, known for its traditional Cotswold stone buildings and historic parish church.
-
C.
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
D.
Benz
Benz is a German surname most famously associated with automotive pioneer Karl Benz and the Mercedes-Benz brand.
-
E.
Mack
Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
- 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: Fordon Triple: [Bydgoszcz, hasNotableDistrict, Fordon]
Generated description
Fordon is a large residential and industrial district of Bydgoszcz in northern Poland, known for its post-war housing estates and location along the Vistula River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fordon Target entity description: Fordon is a large residential and industrial district of Bydgoszcz in northern Poland, known for its post-war housing estates and location along the Vistula River.
-
A.
The Ford
The Ford is a small hamlet within the civil parish of Little Hadham in Hertfordshire, England.
-
B.
Whichford
Whichford is a small rural village and civil parish in Warwickshire, England, known for its traditional Cotswold stone buildings and historic parish church.
-
C.
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
D.
Benz
Benz is a German surname most famously associated with automotive pioneer Karl Benz and the Mercedes-Benz brand.
-
E.
Mack
Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858ed09881909bde122971d95753 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9550f0819092660f6c4b0d708e |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffed526eac8190968a19738ab019e7 |
completed | May 10, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffedda25fc8190b9eef3e7752f95f5 |
completed | May 10, 2026, 2:30 a.m. |
Created at: April 10, 2026, 4:59 a.m.