Triple
T3228057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toukley |
E67669
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Gorokan |
E383217
|
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: Gorokan | Statement: [Toukley, hasNearbyLocality, Gorokan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gorokan Context triple: [Toukley, hasNearbyLocality, Gorokan]
-
A.
Gorokan
chosen
Gorokan is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and beaches.
-
B.
Gotemba
Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
-
C.
Tokoro
Tokoro is a coastal district of Kitami City in Hokkaido, Japan, known historically for its fishing industry and drift ice along the Sea of Okhotsk.
-
D.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
-
E.
Arinagour
Arinagour is the main village and administrative centre on the Scottish island of Coll in the Inner Hebrides.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb6f8588190a33a9d6c779e8992 |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f0130db48190b6662c8dabf67d1d |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.