Triple
T17045015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrathool Shire |
E413544
|
entity |
| Predicate | hasLocality |
P7943
|
FINISHED |
| Object | Booligal |
E295937
|
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: Booligal | Statement: [Carrathool Shire, hasLocality, Booligal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Booligal Context triple: [Carrathool Shire, hasLocality, Booligal]
-
A.
Booligal
chosen
Booligal is a small rural locality in New South Wales, Australia, known historically as an outback river settlement on the plains of the Riverina region.
-
B.
Ofogoula
Ofogoula is an alternative name for the Ofo language, a now-extinct Siouan language once spoken by the Ofo people in the southeastern United States.
-
C.
Barooga
Barooga is a small town in southern New South Wales, Australia, known for its Murray River location and recreational attractions such as golf courses and riverfront activities.
-
D.
Galga
Galga is a small river in Hungary that serves as a tributary of the Zagyva River.
-
E.
Bogoso
Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9d7e988190a5e3991c7123f9b0 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233cd3d48190b002951881ef670b |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.