Triple
T587988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldham borough |
E17200
|
entity |
| Predicate | hasMajorVillage |
P2321
|
FINISHED |
| Object |
Diggle
Diggle is a rural village in the Saddleworth area of Greater Manchester, England, known for its scenic Pennine setting and historic canal and railway tunnels.
|
E74255
|
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: Diggle | Statement: [Oldham borough, hasMajorVillage, Diggle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diggle Context triple: [Oldham borough, hasMajorVillage, Diggle]
-
A.
Jack Taylor
Jack Taylor was an English football referee renowned for officiating major international matches, including the 1974 FIFA World Cup Final.
-
B.
Henry Hall
Henry Hall is the son of American actress and comedian Julia Louis-Dreyfus and musician Brad Hall.
-
C.
Clive
Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
-
D.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
E.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
- 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: Diggle Triple: [Oldham borough, hasMajorVillage, Diggle]
Generated description
Diggle is a rural village in the Saddleworth area of Greater Manchester, England, known for its scenic Pennine setting and historic canal and railway tunnels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diggle Target entity description: Diggle is a rural village in the Saddleworth area of Greater Manchester, England, known for its scenic Pennine setting and historic canal and railway tunnels.
-
A.
Jack Taylor
Jack Taylor was an English football referee renowned for officiating major international matches, including the 1974 FIFA World Cup Final.
-
B.
Henry Hall
Henry Hall is the son of American actress and comedian Julia Louis-Dreyfus and musician Brad Hall.
-
C.
Clive
Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
-
D.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
E.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49d2a5f5481908bb9a71ff0f534d4 |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5155210dc8190bad32b49703641e2 |
completed | March 2, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a51788f870819099271dcb41ee4bda |
completed | March 2, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a51846caa481909a61fa29a44b7470 |
completed | March 2, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:33 p.m.