Triple
T12346746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lossiemouth |
E294374
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object |
Branderburgh
Branderburgh is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
|
E978025
|
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: Branderburgh | Statement: [Lossiemouth, hasNeighbourhood, Branderburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Branderburgh Context triple: [Lossiemouth, hasNeighbourhood, Branderburgh]
-
A.
Byberry
Byberry is a neighborhood in Northeast Philadelphia, Pennsylvania, known for its residential character and historical association with the former Philadelphia State Hospital (often called Byberry).
-
B.
Elizabethport
Elizabethport is a historic waterfront neighborhood and port district in the city of Elizabeth, New Jersey.
-
C.
Herbrandston
Herbrandston is a coastal village in Pembrokeshire, Wales, situated on the shores of the Milford Haven Waterway.
-
D.
Tarry Town
Tarry Town is a fictional Hudson Valley village in Washington Irving’s “The Legend of Sleepy Hollow,” closely associated with the eerie, supernatural atmosphere surrounding Sleepy Hollow.
-
E.
Schomberg
Schomberg is a German-origin surname historically associated with notable European military leaders and nobility, including figures who served in the armies of several countries.
- 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: Branderburgh Triple: [Lossiemouth, hasNeighbourhood, Branderburgh]
Generated description
Branderburgh is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Branderburgh Target entity description: Branderburgh is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
-
A.
Byberry
Byberry is a neighborhood in Northeast Philadelphia, Pennsylvania, known for its residential character and historical association with the former Philadelphia State Hospital (often called Byberry).
-
B.
Elizabethport
Elizabethport is a historic waterfront neighborhood and port district in the city of Elizabeth, New Jersey.
-
C.
Herbrandston
Herbrandston is a coastal village in Pembrokeshire, Wales, situated on the shores of the Milford Haven Waterway.
-
D.
Tarry Town
Tarry Town is a fictional Hudson Valley village in Washington Irving’s “The Legend of Sleepy Hollow,” closely associated with the eerie, supernatural atmosphere surrounding Sleepy Hollow.
-
E.
Schomberg
Schomberg is a German-origin surname historically associated with notable European military leaders and nobility, including figures who served in the armies of several countries.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7a4a448190aa70d66dc2f406c1 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aae8d7c8190a722c28a5a153d1d |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c55aacc8190a0544306825bdfab |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d4d0b8881908aa6b67db7d14609 |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:53 p.m.