Triple
T13673831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Fell |
E327820
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Swarthmoor
Swarthmoor is a historic estate in Cumbria, England, best known as an early center of the Quaker movement and the home of prominent Quaker leader Margaret Fell.
|
E1056851
|
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: Swarthmoor | Statement: [Margaret Fell, residence, Swarthmoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swarthmoor Context triple: [Margaret Fell, residence, Swarthmoor]
-
A.
Northmoor
Northmoor is a small rural village and civil parish in Oxfordshire, England, situated near the River Thames.
-
B.
Nortmoor
Nortmoor is a small municipality in the Leer district of Lower Saxony, Germany.
-
C.
Ravenhill
Ravenhill is a residential district within the City and County of Swansea in Wales, known for its local community amenities and suburban character.
-
D.
Ravenhill
Ravenhill is a strategic outpost overlooking the Lonely Mountain in J.R.R. Tolkien’s Middle-earth, notable as the site of Thorin Oakenshield’s final stand and death during the Battle of the Five Armies.
-
E.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
- 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: Swarthmoor Triple: [Margaret Fell, residence, Swarthmoor]
Generated description
Swarthmoor is a historic estate in Cumbria, England, best known as an early center of the Quaker movement and the home of prominent Quaker leader Margaret Fell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swarthmoor Target entity description: Swarthmoor is a historic estate in Cumbria, England, best known as an early center of the Quaker movement and the home of prominent Quaker leader Margaret Fell.
-
A.
Northmoor
Northmoor is a small rural village and civil parish in Oxfordshire, England, situated near the River Thames.
-
B.
Nortmoor
Nortmoor is a small municipality in the Leer district of Lower Saxony, Germany.
-
C.
Ravenhill
Ravenhill is a residential district within the City and County of Swansea in Wales, known for its local community amenities and suburban character.
-
D.
Ravenhill
Ravenhill is a strategic outpost overlooking the Lonely Mountain in J.R.R. Tolkien’s Middle-earth, notable as the site of Thorin Oakenshield’s final stand and death during the Battle of the Five Armies.
-
E.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d487e2c8190909e1c80cc2262ed |
completed | May 3, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f79e77b5e88190a85f4061c8abb8a4 |
completed | May 3, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79fa5249481909b2c046ed9801371 |
completed | May 3, 2026, 7:19 p.m. |
Created at: April 9, 2026, 9:53 p.m.