Triple
T6735234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrow West |
E153736
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Marlborough
Marlborough is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
|
E619255
|
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: Marlborough | Statement: [Harrow West, contains, Marlborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlborough Context triple: [Harrow West, contains, Marlborough]
-
A.
Marlborough
Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
-
B.
Marlborough
Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
-
C.
Marlborough
Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
-
D.
Wilton
Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
-
E.
Wilton
Wilton was a former UK parliamentary constituency in Wiltshire, historically represented in the House of Commons before its abolition in the 19th century.
- 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: Marlborough Triple: [Harrow West, contains, Marlborough]
Generated description
Marlborough is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marlborough Target entity description: Marlborough is a residential area within the London Borough of Harrow, situated in the Harrow West parliamentary constituency.
-
A.
Marlborough
Marlborough is a renowned wine-producing region in New Zealand, celebrated especially for its high-quality cool-climate varietals.
-
B.
Marlborough
Marlborough is a historic market town in Wiltshire, England, known for its broad High Street and well-preserved architecture.
-
C.
Marlborough
Marlborough is a small New England town in central Connecticut known for its rural character and residential communities.
-
D.
Wilton
Wilton is a small New Hampshire town known for its rural character, historic mill village, and location along the Souhegan River.
-
E.
Wilton
Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a749d4c81908c9b2d4cf1e0f606 |
completed | March 28, 2026, 12:01 a.m. |
| NEDg | Description generation | batch_69c71b6b87d8819085e6ae122f042626 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c00f86c819099ef6ae0766e9f3a |
completed | March 28, 2026, 12:08 a.m. |
Created at: March 27, 2026, 2:09 p.m.