Triple
T7768786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubbo region |
E179016
|
entity |
| Predicate | hasAdministrativeCentre |
P1474
|
FINISHED |
| Object | Dubbo |
E98384
|
NE FINISHED |
How this triple was built (2 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: Dubbo | Statement: [Dubbo region, hasAdministrativeCentre, Dubbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubbo Context triple: [Dubbo region, hasAdministrativeCentre, Dubbo]
-
A.
Dubbo
chosen
Dubbo is a regional city in New South Wales, Australia, known as an important agricultural, commercial, and transport hub in the central-west of the state.
-
B.
Gezhouba
Gezhouba is a locality on the Yangtze River in Yichang, Hubei Province, China, known primarily as the site of the Gezhouba Dam hydropower project.
-
C.
Buyi
The Buyi are an ethnic minority group in southwestern China, known for their distinct Tai-related language, traditional agriculture, and rich folk customs.
-
D.
Jini
Jini is a Java-based network architecture and technology from Sun Microsystems designed to enable dynamic discovery, joining, and interaction of distributed services in a network.
-
E.
Enbo
Enbo is a given name most notably associated with Tang Enbo, a prominent Chinese Nationalist general during the Second Sino-Japanese War and Chinese Civil War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e7818c8190920ea2bde6343968 |
completed | March 29, 2026, 6:34 a.m. |
Created at: March 27, 2026, 4:11 p.m.