Triple
T8976730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumbernauld |
E214408
|
entity |
| Predicate | hasResidentialArea |
P9064
|
FINISHED |
| Object |
Lenziemill
Lenziemill is a residential district within the new town of Cumbernauld in North Lanarkshire, Scotland.
|
E769034
|
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: Lenziemill | Statement: [Cumbernauld, hasResidentialArea, Lenziemill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lenziemill Context triple: [Cumbernauld, hasResidentialArea, Lenziemill]
-
A.
Lennertz
Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
-
B.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
C.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
-
D.
Milies
Milies is a traditional mountain village in Greece known for its stone architecture, rich cultural heritage, and scenic location on the slopes of Mount Pelion.
-
E.
Leme
Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
- 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: Lenziemill Triple: [Cumbernauld, hasResidentialArea, Lenziemill]
Generated description
Lenziemill 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: Lenziemill Target entity description: Lenziemill is a residential district within the new town of Cumbernauld in North Lanarkshire, Scotland.
-
A.
Lennertz
Lennertz is a German-origin surname borne by various individuals, including American composer Christopher Lennertz.
-
B.
Lontzen
Lontzen is a municipality in eastern Belgium, located in the country’s German-speaking region near the border with Germany.
-
C.
Eltigen
Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
-
D.
Milies
Milies is a traditional mountain village in Greece known for its stone architecture, rich cultural heritage, and scenic location on the slopes of Mount Pelion.
-
E.
Leme
Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
- 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.