Triple
T5084202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North East Derbyshire |
E114595
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Shirland
Shirland is a village and civil parish in the district of North East Derbyshire in Derbyshire, England.
|
E492075
|
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: Shirland | Statement: [North East Derbyshire, containsSettlement, Shirland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirland Context triple: [North East Derbyshire, containsSettlement, Shirland]
-
A.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
B.
Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
-
C.
Brylin
Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
-
D.
Syrdon
Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
-
E.
Kirsha
Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
- 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: Shirland Triple: [North East Derbyshire, containsSettlement, Shirland]
Generated description
Shirland is a village and civil parish in the district of North East Derbyshire in Derbyshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shirland Target entity description: Shirland is a village and civil parish in the district of North East Derbyshire in Derbyshire, England.
-
A.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
B.
Shand
Shand is the maiden surname of Camilla, Queen Consort of the United Kingdom.
-
C.
Brylin
Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
-
D.
Syrdon
Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
-
E.
Kirsha
Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75192d188190a7631bce5faf7de3 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb13a8be08190a0f1fc3aec224dde |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb22ca4148190b599b48c05e5e3da |
completed | March 21, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb2c80a6881908ad29936da1240d2 |
completed | March 21, 2026, 3:01 p.m. |
Created at: March 20, 2026, 1:40 p.m.