Triple
T8964592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Lathkill |
E214095
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Alport
Alport is a small hamlet in Derbyshire, England, situated in the Peak District and known for its picturesque rural setting and historic stone buildings.
|
E768793
|
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: Alport | Statement: [River Lathkill, flowsThrough, Alport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alport Context triple: [River Lathkill, flowsThrough, Alport]
-
A.
Hipple
Hipple is the birth surname of American film and television actor Hugh Marlowe.
-
B.
Meckingsen
Meckingsen is a village-level district that forms part of the town of Soest in North Rhine-Westphalia, Germany.
-
C.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
-
D.
Noonan
Noonan is the surname of Peggy Noonan, a prominent American political speechwriter, author, and columnist.
-
E.
Bright's disease
Bright's disease is a historical term for a group of kidney disorders, primarily chronic nephritis, characterized by inflammation and degeneration of the kidneys leading to protein in the urine, edema, and often fatal kidney failure.
- 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: Alport Triple: [River Lathkill, flowsThrough, Alport]
Generated description
Alport is a small hamlet in Derbyshire, England, situated in the Peak District and known for its picturesque rural setting and historic stone buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alport Target entity description: Alport is a small hamlet in Derbyshire, England, situated in the Peak District and known for its picturesque rural setting and historic stone buildings.
-
A.
Hipple
Hipple is the birth surname of American film and television actor Hugh Marlowe.
-
B.
Meckingsen
Meckingsen is a village-level district that forms part of the town of Soest in North Rhine-Westphalia, Germany.
-
C.
Gotaas-Larsen
Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
-
D.
Noonan
Noonan is the surname of Peggy Noonan, a prominent American political speechwriter, author, and columnist.
-
E.
Bright's disease
Bright's disease is a historical term for a group of kidney disorders, primarily chronic nephritis, characterized by inflammation and degeneration of the kidneys leading to protein in the urine, edema, and often fatal kidney failure.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc674c4be8819090d46aba8ab40af3 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc95514408190ad442069daec0459 |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfc9e01dc88190aeedcd9fb3281688 |
completed | April 3, 2026, 2:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfca4374c481909ceefcfb1a31bed2 |
completed | April 3, 2026, 2:10 p.m. |
Created at: March 30, 2026, 7:01 p.m.