Triple
T832179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luddenden Foot |
E17988
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Midgley
Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
|
E110167
|
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: Midgley | Statement: [Luddenden Foot, hasNearbySettlement, Midgley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midgley Context triple: [Luddenden Foot, hasNearbySettlement, Midgley]
-
A.
Medstead
Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
-
B.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
C.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
D.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
-
E.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
- 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: Midgley Triple: [Luddenden Foot, hasNearbySettlement, Midgley]
Generated description
Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Midgley Target entity description: Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
-
A.
Medstead
Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
-
B.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
C.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
D.
Brewster
Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
-
E.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb647988190950e1790bcfa60a5 |
completed | March 1, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7edfcb7a88190b3670c6ef2b93609 |
completed | March 4, 2026, 8:31 a.m. |
| NEDg | Description generation | batch_69a7f72ae04c81908ede9a57670cd995 |
completed | March 4, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f7cf9310819090384bbd7f45ca38 |
completed | March 4, 2026, 9:13 a.m. |
Created at: March 1, 2026, 7:38 p.m.