Triple
T8011105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cilegon |
E186493
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Anyer |
E169690
|
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: Anyer | Statement: [Cilegon, borderedBy, Anyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anyer Context triple: [Cilegon, borderedBy, Anyer]
-
A.
Anyer
chosen
Anyer is a coastal town in Indonesia known for its beaches on the western tip of Java and as a popular seaside getaway from Jakarta.
-
B.
Tannay
Tannay is a small lakeside municipality in the canton of Vaud in western Switzerland, situated on the shores of Lake Geneva.
-
C.
Aynho
Aynho is a historic village in Northamptonshire, England, known for its picturesque setting near the River Cherwell and traditional stone architecture.
-
D.
Ahone
Ahone is the benevolent creator god in the traditional religion of the Powhatan people of Virginia.
-
E.
Nuriootpa
Nuriootpa is a major town in South Australia's Barossa Valley wine region, known as a commercial and service hub for the surrounding vineyards and wineries.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d722fbc8190b22745b581421f16 |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56a54e8081908208b57b7390cc95 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:19 p.m.