Triple
T6657755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Chelmer |
E151389
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Little Baddow
Little Baddow is a small rural village in Essex, England, known for its scenic countryside, woodlands, and historic buildings.
|
E609214
|
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: Little Baddow | Statement: [River Chelmer, nearbySettlement, Little Baddow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Baddow Context triple: [River Chelmer, nearbySettlement, Little Baddow]
-
A.
Little Tor
Little Tor is a rocky headland on the Gower Peninsula in South Wales, known for its cliffs, coastal views, and popularity with walkers and climbers.
-
B.
Bardwell
Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
-
C.
Bowdon
Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
-
D.
Bad Oldesloe
Bad Oldesloe is a small town in northern Germany’s Schleswig-Holstein state, known for its historic market center and location between Hamburg and Lübeck.
-
E.
Little Salkeld
Little Salkeld is a small village in Cumbria, England, known for its proximity to the ancient stone circle Long Meg and Her Daughters.
- 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: Little Baddow Triple: [River Chelmer, nearbySettlement, Little Baddow]
Generated description
Little Baddow is a small rural village in Essex, England, known for its scenic countryside, woodlands, and historic buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Little Baddow Target entity description: Little Baddow is a small rural village in Essex, England, known for its scenic countryside, woodlands, and historic buildings.
-
A.
Little Tor
Little Tor is a rocky headland on the Gower Peninsula in South Wales, known for its cliffs, coastal views, and popularity with walkers and climbers.
-
B.
Bardwell
Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
-
C.
Bowdon
Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
-
D.
Bad Oldesloe
Bad Oldesloe is a small town in northern Germany’s Schleswig-Holstein state, known for its historic market center and location between Hamburg and Lübeck.
-
E.
Little Salkeld
Little Salkeld is a small village in Cumbria, England, known for its proximity to the ancient stone circle Long Meg and Her Daughters.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b06f3da88190b17649f44ee93fd1 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef028ccc8190a56395075c9aabf7 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a2a150819091ec6e6d2905abcb |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f1344dd4819096c1d3e216320c4d |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:01 p.m.