Triple
T11603736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnett River |
E275196
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Gayndah |
E529952
|
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: Gayndah | Statement: [Burnett River, flowsThrough, Gayndah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gayndah Context triple: [Burnett River, flowsThrough, Gayndah]
-
A.
Gayndah
chosen
Gayndah is a historic rural town in Queensland, Australia, known for its citrus industry and status as one of the state’s oldest inland settlements.
-
B.
Taghmon
Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
-
C.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
D.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
E.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d895502e0081909ee9c3d45d26cd91 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a8022800819096d7a87ac8c1c751 |
completed | April 22, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:38 p.m.