Triple
T10289554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Hersfeld |
E241324
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Lanchester
Lanchester is a village in County Durham, England, known for its historic parish church and Roman archaeological remains.
|
E852247
|
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: Lanchester | Statement: [Bad Hersfeld, hasTwinTown, Lanchester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanchester Context triple: [Bad Hersfeld, hasTwinTown, Lanchester]
-
A.
Lanchester
Lanchester is an English surname most famously associated with actress Elsa Lanchester and several notable British figures in the arts and sciences.
-
B.
Almodington
Almodington is a small settlement located on the Manhood Peninsula in West Sussex, England.
-
C.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
D.
Lanc
Lanc is the popular nickname for the Avro Lancaster, a British four‑engined heavy bomber famed for its crucial role in RAF operations during World War II.
-
E.
Centurion
Centurion is a rapidly growing urban area in South Africa situated between Pretoria and Johannesburg, known for its residential suburbs, business hubs, and large shopping centers.
- 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: Lanchester Triple: [Bad Hersfeld, hasTwinTown, Lanchester]
Generated description
Lanchester is a village in County Durham, England, known for its historic parish church and Roman archaeological remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanchester Target entity description: Lanchester is a village in County Durham, England, known for its historic parish church and Roman archaeological remains.
-
A.
Lanchester
Lanchester is an English surname most famously associated with actress Elsa Lanchester and several notable British figures in the arts and sciences.
-
B.
Almodington
Almodington is a small settlement located on the Manhood Peninsula in West Sussex, England.
-
C.
Batalha
Batalha is a Portuguese town best known for its UNESCO-listed Batalha Monastery, a masterpiece of Gothic and Manueline architecture.
-
D.
Lanc
Lanc is the popular nickname for the Avro Lancaster, a British four‑engined heavy bomber famed for its crucial role in RAF operations during World War II.
-
E.
Centurion
Centurion is a rapidly growing urban area in South Africa situated between Pretoria and Johannesburg, known for its residential suburbs, business hubs, and large shopping centers.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2d192288190a64c27a4f26b71fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8556f4081908390bc5c14dcf560 |
completed | April 9, 2026, 12:52 a.m. |
| NEDg | Description generation | batch_69d6fcaee26c8190a19f7d07a63531f6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd879ab88190b0a47295f5d7ad4d |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:41 a.m.