Triple
T6451891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lampeter |
E139886
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
LAMPETER
LAMPETER is a small market and university town in Ceredigion, Wales, known for hosting one of the oldest degree-awarding institutions in the UK.
|
E593687
|
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: LAMPETER | Statement: [Lampeter, hasPostTown, LAMPETER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LAMPETER Context triple: [Lampeter, hasPostTown, LAMPETER]
-
A.
Pierpont
Pierpont is the distinctive middle name of the influential American financier and banker J. P. Morgan.
-
B.
Pierrepont
Pierrepont is a given name associated with the American architect C. P. H. Gilbert, known for designing opulent Gilded Age mansions in New York City.
-
C.
Glassport
Glassport is a small industrial borough in Allegheny County, Pennsylvania, located along the Monongahela River near Pittsburgh.
-
D.
Ambler
Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
-
E.
Malvern
Malvern is a town in Worcestershire, England, known for its historic role in British scientific and defense research as well as its scenic Malvern Hills.
- 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: LAMPETER Triple: [Lampeter, hasPostTown, LAMPETER]
Generated description
LAMPETER is a small market and university town in Ceredigion, Wales, known for hosting one of the oldest degree-awarding institutions in the UK.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LAMPETER Target entity description: LAMPETER is a small market and university town in Ceredigion, Wales, known for hosting one of the oldest degree-awarding institutions in the UK.
-
A.
Pierpont
Pierpont is the distinctive middle name of the influential American financier and banker J. P. Morgan.
-
B.
Pierrepont
Pierrepont is a given name associated with the American architect C. P. H. Gilbert, known for designing opulent Gilded Age mansions in New York City.
-
C.
Glassport
Glassport is a small industrial borough in Allegheny County, Pennsylvania, located along the Monongahela River near Pittsburgh.
-
D.
Ambler
Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
-
E.
Malvern
Malvern is a town in Worcestershire, England, known for its historic role in British scientific and defense research as well as its scenic Malvern Hills.
- 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_69c008b301948190a35854e5284dc822 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069b62cbc81908b7f1a0dc1ed3e1d |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bd671d08190a24e8d666040bcc2 |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64cc3f87081908e780fa21394b48e |
completed | March 27, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64d1f19448190b96759b5991d07d4 |
completed | March 27, 2026, 9:25 a.m. |
Created at: March 22, 2026, 4:47 p.m.