Triple
T13280544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earlestown |
E316308
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
St Helens
St Helens is a large industrial town in Merseyside, England, historically known for its coal mining and glassmaking industries.
|
E67549
|
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: St Helens | Statement: [Earlestown, locatedNear, St Helens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Helens Context triple: [Earlestown, locatedNear, St Helens]
-
A.
St Helens coalfield
The St Helens coalfield is a historic coal-mining district in and around St Helens in northwest England that played a key role in the region’s early industrial development.
-
B.
Leigh
Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
-
C.
Leigh
Leigh is a parliamentary constituency in Greater Manchester, England, historically represented in the UK House of Commons.
-
D.
Leigh
Leigh is a village and civil parish in the Malvern Hills district of Worcestershire, England.
-
E.
Holness
Holness is the surname of Andrew Holness, the Jamaican politician who has served as Prime Minister of Jamaica.
- 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: St Helens Triple: [Earlestown, locatedNear, St Helens]
Generated description
St Helens is a large industrial town in Merseyside, England, historically known for its coal mining and glassmaking industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St Helens Target entity description: St Helens is a large industrial town in Merseyside, England, historically known for its coal mining and glassmaking industries.
-
A.
St Helens
chosen
St Helens is a large industrial town in North West England historically known for its coal mining and glassmaking industries.
-
B.
St Helens coalfield
The St Helens coalfield is a historic coal-mining district in and around St Helens in northwest England that played a key role in the region’s early industrial development.
-
C.
Leigh
Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
-
D.
Leigh
Leigh is a parliamentary constituency in Greater Manchester, England, historically represented in the UK House of Commons.
-
E.
Leigh
Leigh is a village and civil parish in the Malvern Hills district of Worcestershire, England.
- F. None of above.
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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9904507588190a303686d176ec3e1 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305e1d70819096ff9784e9fafde9 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7315007c081909ae53890e0782059 |
completed | May 3, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731b63f6081909658ce3af7103fe8 |
completed | May 3, 2026, 11:29 a.m. |
Created at: April 9, 2026, 9:27 p.m.