Triple
T9149231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashirsky Uyezd |
E219538
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object | Kashira |
E727230
|
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: Kashira | Statement: [Kashirsky Uyezd, administrativeCentre, Kashira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kashira Context triple: [Kashirsky Uyezd, administrativeCentre, Kashira]
-
A.
Kashira
chosen
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
B.
Kasagi
Kasagi is a small town in Kyoto Prefecture, Japan, known for its scenic river landscapes and historic temples.
-
C.
Kasada
Kasada is a traditional Hindu ritual and festival observed by the Tenggerese people of East Java, Indonesia, involving offerings cast into the crater of Mount Bromo.
-
D.
Kōtaishi
Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
-
E.
Shimaore
Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca96908d88190a1d12517f6d1aece |
completed | April 1, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139a887b0819088485006f1653d1c |
completed | April 4, 2026, 4:17 p.m. |
Created at: March 30, 2026, 7:20 p.m.