Triple
T3660384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central West (New South Wales) |
E77632
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
|
E379133
|
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: Gulgong | Statement: [Central West (New South Wales), hasTown, Gulgong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gulgong Context triple: [Central West (New South Wales), hasTown, Gulgong]
-
A.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
B.
Gubongsan
Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
-
C.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
D.
Gwangalli
Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
-
E.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
- 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: Gulgong Triple: [Central West (New South Wales), hasTown, Gulgong]
Generated description
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gulgong Target entity description: Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
-
A.
Tangtse
Tangtse is a village in the Leh district of Ladakh, India, situated along key routes between the Indus Valley and the Pangong Tso region in the Himalayas.
-
B.
Gubongsan
Gubongsan is a mountain located in or near the city of Daejeon in South Korea, known for its hiking trails and scenic views.
-
C.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
D.
Gwangalli
Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
-
E.
Machang
Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d6fa188190a6db5bdae7083573 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c39796648190a83a7f1a63c653bd |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c43feeac819082823e862b24bc71 |
completed | March 14, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c4c503a08190b5e1617c4f63ef37 |
completed | March 14, 2026, 2:15 a.m. |
Created at: March 8, 2026, 3:25 p.m.