Triple
T8976721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbernauld |
E214408
|
entity |
| Predicate | hasResidentialArea |
P9064
|
FINISHED |
| Object |
Seafar
Seafar is a residential district within the new town of Cumbernauld in North Lanarkshire, Scotland.
|
E769028
|
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: Seafar | Statement: [Cumbernauld, hasResidentialArea, Seafar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seafar Context triple: [Cumbernauld, hasResidentialArea, Seafar]
-
A.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
-
B.
High Seas
High Seas is a Spanish mystery drama television series set on a luxury ocean liner in the 1940s, following a string of murders and dark family secrets uncovered during its transatlantic voyages.
-
C.
Seaburn
Seaburn is a coastal suburb and popular seaside resort area of Sunderland in North East England, known for its sandy beach and promenade.
-
D.
Night Sea
"Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
-
E.
Seven Seas
Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
- 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: Seafar Triple: [Cumbernauld, hasResidentialArea, Seafar]
Generated description
Seafar is a residential district within the new town of Cumbernauld in North Lanarkshire, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seafar Target entity description: Seafar is a residential district within the new town of Cumbernauld in North Lanarkshire, Scotland.
-
A.
The Seafarers
The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
-
B.
High Seas
High Seas is a Spanish mystery drama television series set on a luxury ocean liner in the 1940s, following a string of murders and dark family secrets uncovered during its transatlantic voyages.
-
C.
Seaburn
Seaburn is a coastal suburb and popular seaside resort area of Sunderland in North East England, known for its sandy beach and promenade.
-
D.
Night Sea
"Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
-
E.
Seven Seas
Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6786c880819088393bb107a7364c |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96aa46c81908b95a23fd2b4da57 |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfca00ffa08190ad66fb99572a6275 |
completed | April 3, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfca84937881909707497d733218e5 |
completed | April 3, 2026, 2:11 p.m. |
Created at: March 30, 2026, 7:02 p.m.