Triple
T3655684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keppel |
E77523
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lakes Creek
Lakes Creek is a locality in the Rockhampton region of Queensland, Australia, known historically for its meat processing industry and riverside setting.
|
E598245
|
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: Lakes Creek | Statement: [Keppel, contains, Lakes Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakes Creek Context triple: [Keppel, contains, Lakes Creek]
-
A.
Woods Creek
Woods Creek is a small waterway in Tuolumne County, California, known for flowing through the historic Gold Rush town of Jamestown.
-
B.
Schell Creek
Schell Creek is a stream in eastern Nevada that flows through the Schell Creek Range and contributes to the region’s high-desert watershed.
-
C.
Still Creek
Still Creek is a small stream in eastern Pennsylvania that serves as a right-bank tributary of the Little Schuylkill River.
-
D.
Hunting Creek
Hunting Creek is a smaller stream in North Carolina that feeds into the Yadkin River as one of its tributaries.
-
E.
Highland Creek
Highland Creek is a residential neighbourhood in the eastern Toronto district of Scarborough, known for its ravine landscapes and proximity to the University of Toronto Scarborough campus.
- 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: Lakes Creek Triple: [Keppel, contains, Lakes Creek]
Generated description
Lakes Creek is a locality in the Rockhampton region of Queensland, Australia, known historically for its meat processing industry and riverside setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lakes Creek Target entity description: Lakes Creek is a locality in the Rockhampton region of Queensland, Australia, known historically for its meat processing industry and riverside setting.
-
A.
Woods Creek
Woods Creek is a small waterway in Tuolumne County, California, known for flowing through the historic Gold Rush town of Jamestown.
-
B.
Schell Creek
Schell Creek is a stream in eastern Nevada that flows through the Schell Creek Range and contributes to the region’s high-desert watershed.
-
C.
Still Creek
Still Creek is a small stream in eastern Pennsylvania that serves as a right-bank tributary of the Little Schuylkill River.
-
D.
Hunting Creek
Hunting Creek is a smaller stream in North Carolina that feeds into the Yadkin River as one of its tributaries.
-
E.
Highland Creek
Highland Creek is a residential neighbourhood in the eastern Toronto district of Scarborough, known for its ravine landscapes and proximity to the University of Toronto Scarborough campus.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3baf57c8190b72b5d1b910d9db6 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c669cd6bb08190966b89a2129f5738 |
completed | March 27, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69c66c950a908190a42ffcba850a554d |
completed | March 27, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c66cf75ca08190bb74fec43b63a3f6 |
completed | March 27, 2026, 11:41 a.m. |
Created at: March 8, 2026, 3:24 p.m.