Triple
T16246850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapesovo |
E394391
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Dilofo |
E393217
|
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: Dilofo | Statement: [Kapesovo, nearbySettlement, Dilofo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dilofo Context triple: [Kapesovo, nearbySettlement, Dilofo]
-
A.
Dilofo
chosen
Dilofo is a traditional stone-built mountain village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic setting.
-
B.
Dokolo
Dokolo is a town in northern Uganda that serves as the administrative and commercial center of Dokolo District.
-
C.
Laiyolo
Laiyolo is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
-
D.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
E.
Thalochi
Thalochi is an alternative name for Thali, a term commonly associated with traditional South Asian platter-style meals featuring a variety of dishes served together.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245931074819096f38003da70f271 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee135b881909cc1b6919bc7af29 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.