Triple
T702750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mor Breizh |
E14032
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object |
Portsmouth
Portsmouth is a historic naval city and major seaport on the south coast of England, known for its maritime heritage and strategic importance.
|
E18376
|
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: Portsmouth | Statement: [Mor Breizh, hasMajorPort, Portsmouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portsmouth Context triple: [Mor Breizh, hasMajorPort, Portsmouth]
-
A.
Portsmouth
Portsmouth is a historic naval port city on England’s south coast, heavily targeted and damaged during the World War II Blitz.
-
B.
Portsmouth
Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
-
C.
Norfolk
Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
-
D.
Dover
Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
-
E.
Dover
Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
- 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: Portsmouth Triple: [Mor Breizh, hasMajorPort, Portsmouth]
Generated description
Portsmouth is a historic naval city and major seaport on the south coast of England, known for its maritime heritage and strategic importance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Portsmouth Target entity description: Portsmouth is a historic naval city and major seaport on the south coast of England, known for its maritime heritage and strategic importance.
-
A.
Portsmouth
chosen
Portsmouth is a historic naval port city on England’s south coast, heavily targeted and damaged during the World War II Blitz.
-
B.
Portsmouth
Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
-
C.
Norfolk
Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
-
D.
Dover
Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
-
E.
Dover
Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
- F. None of above.
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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a532dd708190ab91e515a07b441e |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2573c6a48190bfe9b7f2ec026462 |
completed | March 7, 2026, 1:17 p.m. |
| NEDg | Description generation | batch_69ac25dc9ee88190b7d7e72c6f7c8c76 |
completed | March 7, 2026, 1:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac2636ef5c8190909ff4e65c6787c5 |
completed | March 7, 2026, 1:20 p.m. |
Created at: March 1, 2026, 7:36 p.m.