Triple
T2304949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AWST |
E51816
|
entity |
| Predicate | usedInCity |
P4810
|
FINISHED |
| Object |
Karratha
Karratha is a remote coastal city in Western Australia known for its role as a major hub for the region’s mining and liquefied natural gas industries.
|
E257298
|
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: Karratha | Statement: [AWST, usedInCity, Karratha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karratha Context triple: [AWST, usedInCity, Karratha]
-
A.
Kalgoorlie
Kalgoorlie is a historic gold-mining city in Western Australia, known for its large open-cut mines and role in the region’s mining industry.
-
B.
Mount Isa
Mount Isa is a remote mining city in northwestern Queensland, Australia, known for one of the world’s largest underground zinc, lead, and silver mines.
-
C.
Geraldton
Geraldton is a coastal city in Western Australia known for its busy port, fishing and mining industries, and access to the Abrolhos Islands.
-
D.
Geraldton
Geraldton is a small community in Northern Ontario, Canada, known historically as a mining and forestry town and now part of the municipality of Greenstone.
-
E.
Port Hedland
Port Hedland is a major iron ore export port town on the north coast of Western Australia, known for its large deep-water harbor and heavy industry.
- 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: Karratha Triple: [AWST, usedInCity, Karratha]
Generated description
Karratha is a remote coastal city in Western Australia known for its role as a major hub for the region’s mining and liquefied natural gas industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karratha Target entity description: Karratha is a remote coastal city in Western Australia known for its role as a major hub for the region’s mining and liquefied natural gas industries.
-
A.
Kalgoorlie
Kalgoorlie is a historic gold-mining city in Western Australia, known for its large open-cut mines and role in the region’s mining industry.
-
B.
Mount Isa
Mount Isa is a remote mining city in northwestern Queensland, Australia, known for one of the world’s largest underground zinc, lead, and silver mines.
-
C.
Geraldton
Geraldton is a coastal city in Western Australia known for its busy port, fishing and mining industries, and access to the Abrolhos Islands.
-
D.
Geraldton
Geraldton is a small community in Northern Ontario, Canada, known historically as a mining and forestry town and now part of the municipality of Greenstone.
-
E.
Port Hedland
Port Hedland is a major iron ore export port town on the north coast of Western Australia, known for its large deep-water harbor and heavy industry.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc60300388190993bed7d312a92d5 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae960dfb708190868126460d27b144 |
completed | March 9, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ae96ea1b6c81908e05ca78c5e07320 |
completed | March 9, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae97a775008190bdda2f63810cd5e8 |
completed | March 9, 2026, 9:49 a.m. |
Created at: March 4, 2026, 7:49 p.m.