Triple
T7617878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uralla |
E172407
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Guyra |
E69304
|
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: Guyra | Statement: [Uralla, nearbyTown, Guyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guyra Context triple: [Uralla, nearbyTown, Guyra]
-
A.
Guyra
chosen
Guyra is a small rural town in the Northern Tablelands region of New South Wales, Australia, known for its cool climate and agricultural production.
-
B.
Cloetta
Cloetta is a Swedish confectionery company known for producing a wide range of chocolates, candies, and other sweets for the Nordic and European markets.
-
C.
Crompond
Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
-
D.
Baigas
The Baigas are an indigenous tribal community of central India known for their traditional shifting cultivation, forest-based lifestyle, and distinct cultural and spiritual practices.
-
E.
Yamba
Yamba is a coastal town in northern New South Wales, Australia, known for its beaches, fishing, and laid-back holiday atmosphere.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa46d95081909c01d1432585ab2a |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c868714d7c8190aae66a3dd4e6214b |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:55 p.m.