Triple
T14592249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipswich City Council area |
E342471
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Clumber
Clumber is a rural locality within the Ipswich City Council area in Queensland, Australia.
|
E1108900
|
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: Clumber | Statement: [Ipswich City Council area, containsSettlement, Clumber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clumber Context triple: [Ipswich City Council area, containsSettlement, Clumber]
-
A.
Letheringsett
Letheringsett is a small village in Norfolk, England, known for its historic watermill and rural setting.
-
B.
Chester French
Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
-
C.
Talbot hound
The Talbot hound is a now-extinct, large white hunting dog of medieval England, famed for its tracking ability and frequently used as a heraldic emblem.
-
D.
Shepshed
Shepshed is a town in the English East Midlands known historically for its textile industry and now as a residential community near Loughborough in Leicestershire.
-
E.
Briard
The Briard is a large, rugged French herding dog breed known for its long, wavy coat, strong work ethic, and loyal, protective nature.
- 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: Clumber Triple: [Ipswich City Council area, containsSettlement, Clumber]
Generated description
Clumber is a rural locality within the Ipswich City Council area in Queensland, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clumber Target entity description: Clumber is a rural locality within the Ipswich City Council area in Queensland, Australia.
-
A.
Letheringsett
Letheringsett is a small village in Norfolk, England, known for its historic watermill and rural setting.
-
B.
Chester French
Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
-
C.
Talbot hound
The Talbot hound is a now-extinct, large white hunting dog of medieval England, famed for its tracking ability and frequently used as a heraldic emblem.
-
D.
Shepshed
Shepshed is a town in the English East Midlands known historically for its textile industry and now as a residential community near Loughborough in Leicestershire.
-
E.
Briard
The Briard is a large, rugged French herding dog breed known for its long, wavy coat, strong work ethic, and loyal, protective nature.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4249af08190962009741d1f7d41 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c60448819098cfab7dd292f0cd |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd988f734481908ca4960a69fc2b2a |
completed | May 8, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9a30a73c8190877d5d0ada2e21ca |
completed | May 8, 2026, 8:09 a.m. |
Created at: April 10, 2026, 1:24 a.m.