Triple
T15198498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valby |
E363201
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Folehaven
Folehaven is a residential neighborhood in the Valby district of Copenhagen, Denmark.
|
E1142884
|
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: Folehaven | Statement: [Valby, hasSubdivision, Folehaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Folehaven Context triple: [Valby, hasSubdivision, Folehaven]
-
A.
Seahaven
Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
-
B.
Potter Cove
Potter Cove is a small Antarctic inlet on King George Island known for its scientific research activities and rapidly changing glacial and marine ecosystems.
-
C.
Shelter Cove
Shelter Cove is a small, remote coastal community in Northern California known as a key access point to the rugged Lost Coast and its scenic black sand beaches.
-
D.
Harbor Cove
Harbor Cove is a small inlet within Gloucester Harbor in Gloucester, Massachusetts, known historically for its role in the city’s fishing and maritime industries.
-
E.
Jobson’s Cove
Jobson’s Cove is a small, sheltered pink-sand beach and lagoon on Bermuda’s south shore, known for its calm, shallow waters and dramatic rocky cliffs.
- 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: Folehaven Triple: [Valby, hasSubdivision, Folehaven]
Generated description
Folehaven is a residential neighborhood in the Valby district of Copenhagen, Denmark.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Folehaven Target entity description: Folehaven is a residential neighborhood in the Valby district of Copenhagen, Denmark.
-
A.
Seahaven
Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
-
B.
Potter Cove
Potter Cove is a small Antarctic inlet on King George Island known for its scientific research activities and rapidly changing glacial and marine ecosystems.
-
C.
Shelter Cove
Shelter Cove is a small, remote coastal community in Northern California known as a key access point to the rugged Lost Coast and its scenic black sand beaches.
-
D.
Harbor Cove
Harbor Cove is a small inlet within Gloucester Harbor in Gloucester, Massachusetts, known historically for its role in the city’s fishing and maritime industries.
-
E.
Jobson’s Cove
Jobson’s Cove is a small, sheltered pink-sand beach and lagoon on Bermuda’s south shore, known for its calm, shallow waters and dramatic rocky cliffs.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3342624819087be35acadd88136 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed516a2008190bab6da27d28289e7 |
completed | May 9, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed57659a081909ec777549deff505 |
completed | May 9, 2026, 6:34 a.m. |
Created at: April 10, 2026, 3:10 a.m.