Triple
T22589225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrington North |
E564893
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Orford
Orford is a residential suburb and ward within the town of Warrington in Cheshire, England.
|
E1544932
|
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: Orford | Statement: [Warrington North, contains, Orford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orford Context triple: [Warrington North, contains, Orford]
-
A.
Orford Quay
Orford Quay is a small historic waterfront and landing area on the River Ore serving the village of Orford in Suffolk, England.
-
B.
Orford, Suffolk
Orford, Suffolk is a historic coastal village in eastern England known for its medieval castle, former port, and scenic setting on the River Ore.
-
C.
Orfordness
Orfordness is a remote shingle spit on the Suffolk coast of England that became a key site for early radar experiments and later secret military testing.
-
D.
Thorpeness
Thorpeness is a quirky seaside village on the Suffolk coast of England, known for its mock-Tudor holiday homes, boating Meare, and the iconic House in the Clouds.
-
E.
Salperwick
Salperwick is a small commune in northern France located within the Pas-de-Calais department.
- 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: Orford Triple: [Warrington North, contains, Orford]
Generated description
Orford is a residential suburb and ward within the town of Warrington in Cheshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orford Target entity description: Orford is a residential suburb and ward within the town of Warrington in Cheshire, England.
-
A.
Orford Quay
Orford Quay is a small historic waterfront and landing area on the River Ore serving the village of Orford in Suffolk, England.
-
B.
Orford, Suffolk
Orford, Suffolk is a historic coastal village in eastern England known for its medieval castle, former port, and scenic setting on the River Ore.
-
C.
Orfordness
Orfordness is a remote shingle spit on the Suffolk coast of England that became a key site for early radar experiments and later secret military testing.
-
D.
Thorpeness
Thorpeness is a quirky seaside village on the Suffolk coast of England, known for its mock-Tudor holiday homes, boating Meare, and the iconic House in the Clouds.
-
E.
Salperwick
Salperwick is a small commune in northern France located within the Pas-de-Calais department.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615ea5bc8190b7760cd0de9669dd |
completed | April 29, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b3d5a3080819098e696316ae27ec0 |
completed | May 18, 2026, 4:24 p.m. |
| NEDg | Description generation | batch_6a0b423c08dc819084d0acad4e16a380 |
completed | May 18, 2026, 4:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b42fc28fc8190a501a511cfb7c152 |
completed | May 18, 2026, 4:49 p.m. |
Created at: April 17, 2026, 2:48 p.m.