Triple
T10382397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Chelt |
E244671
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Chelt
Chelt is a small river in Gloucestershire, England, that flows through the town of Cheltenham before joining the River Severn.
|
E859686
|
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: Chelt | Statement: [River Chelt, hasAlternativeName, Chelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelt Context triple: [River Chelt, hasAlternativeName, Chelt]
-
A.
Chalayan
Chalayan is the surname of Hussein Chalayan, a renowned fashion designer known for his innovative, concept-driven and technologically experimental work.
-
B.
Chára
Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
-
C.
Chale
Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
-
D.
Lesches
Lesches is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
-
E.
Chenek
Chenek is a small highland settlement in Ethiopia’s Simien Mountains, commonly used as a base for trekking and accessing the nearby peak of Ras Dashen.
- 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: Chelt Triple: [River Chelt, hasAlternativeName, Chelt]
Generated description
Chelt is a small river in Gloucestershire, England, that flows through the town of Cheltenham before joining the River Severn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chelt Target entity description: Chelt is a small river in Gloucestershire, England, that flows through the town of Cheltenham before joining the River Severn.
-
A.
Chalayan
Chalayan is the surname of Hussein Chalayan, a renowned fashion designer known for his innovative, concept-driven and technologically experimental work.
-
B.
Chára
Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
-
C.
Chale
Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
-
D.
Lesches
Lesches is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
-
E.
Chenek
Chenek is a small highland settlement in Ethiopia’s Simien Mountains, commonly used as a base for trekking and accessing the nearby peak of Ras Dashen.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e992d8e08190aaa9a04925f52ccc |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79592512c8190b999191f16e3133c |
completed | April 9, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69d7982916b48190a50893a79ac522e9 |
completed | April 9, 2026, 12:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7991e01d88190bc460d984b796d64 |
completed | April 9, 2026, 12:18 p.m. |
Created at: April 6, 2026, 12:04 p.m.