Triple
T2873705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumfriesshire |
E56824
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Gretna
Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
|
E304725
|
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: Gretna | Statement: [Dumfriesshire, containsSettlement, Gretna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gretna Context triple: [Dumfriesshire, containsSettlement, Gretna]
-
A.
Bergen-Lafayette
Bergen-Lafayette is a historic, residential neighborhood in Jersey City, New Jersey, known for its diverse community, parks, and revitalizing arts and dining scene.
-
B.
Montrose
Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
-
C.
Montrose
Montrose is a vibrant, artsy neighborhood in Houston, Texas, known for its eclectic culture, historic homes, and diverse community.
-
D.
Montrose
Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
-
E.
Loudon
Loudon is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
- 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: Gretna Triple: [Dumfriesshire, containsSettlement, Gretna]
Generated description
Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gretna Target entity description: Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
-
A.
Bergen-Lafayette
Bergen-Lafayette is a historic, residential neighborhood in Jersey City, New Jersey, known for its diverse community, parks, and revitalizing arts and dining scene.
-
B.
Montrose
Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
-
C.
Montrose
Montrose is a vibrant, artsy neighborhood in Houston, Texas, known for its eclectic culture, historic homes, and diverse community.
-
D.
Montrose
Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
-
E.
Loudon
Loudon is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0032ddc8190bb4d15ec7e3c63e8 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01db40e388190a208fe58e2ed6029 |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b01f8745948190b4821aac1941276c |
completed | March 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b020482e548190ab837025540673f7 |
completed | March 10, 2026, 1:44 p.m. |
Created at: March 6, 2026, 10:03 p.m.