Triple
T22837939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torridge District |
E565996
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hartland
Hartland is a coastal village and civil parish in north Devon, England, known for its dramatic cliffs, historic abbey, and remote, rugged landscape.
|
E1556501
|
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: Hartland | Statement: [Torridge District, contains, Hartland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartland Context triple: [Torridge District, contains, Hartland]
-
A.
Hartland
Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
-
B.
Hartland
Hartland is a small rural town in northwestern Connecticut known for its forests, reservoirs, and low population density.
-
C.
Hartland
Hartland is a suburban village in Waukesha County, Wisconsin, known for its residential communities and proximity to the Milwaukee metropolitan area.
-
D.
Hartland, New York
Hartland, New York is a rural town in Niagara County known for its agricultural landscape and small-community character in western New York State.
-
E.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
- 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: Hartland Triple: [Torridge District, contains, Hartland]
Generated description
Hartland is a coastal village and civil parish in north Devon, England, known for its dramatic cliffs, historic abbey, and remote, rugged landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hartland Target entity description: Hartland is a coastal village and civil parish in north Devon, England, known for its dramatic cliffs, historic abbey, and remote, rugged landscape.
-
A.
Hartland
Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
-
B.
Hartland
Hartland is a small rural town in northwestern Connecticut known for its forests, reservoirs, and low population density.
-
C.
Hartland
Hartland is a suburban village in Waukesha County, Wisconsin, known for its residential communities and proximity to the Milwaukee metropolitan area.
-
D.
Hartland, New York
Hartland, New York is a rural town in Niagara County known for its agricultural landscape and small-community character in western New York State.
-
E.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b3aae48190bb2785a223d135a2 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8bb77bc81909c5422f9d73c1e70 |
completed | May 19, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba94752c48190a8892cac5ef862b2 |
completed | May 19, 2026, 12:05 a.m. |
Created at: April 17, 2026, 3:35 p.m.