Triple
T15551248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bikinsky District |
E370748
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Bikin |
E348041
|
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: Bikin | Statement: [Bikinsky District, hasAdministrativeCenter, Bikin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bikin Context triple: [Bikinsky District, hasAdministrativeCenter, Bikin]
-
A.
Bikin
chosen
Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
-
B.
Bikel
Bikel is a surname most notably associated with Theodore Bikel, an Austrian-American actor, folk singer, and civil rights activist.
-
C.
Makin
Makin is a small atoll in the northern Gilbert Islands of Kiribati, known for its traditional Micronesian culture and World War II history.
-
D.
Bikfaya
Bikfaya is a historic mountain town in Lebanon known for its cool climate, pine forests, and traditional Lebanese architecture.
-
E.
Bicqlo
Bicqlo is a large retail store in Shinjuku, Tokyo, created as a collaboration between electronics retailer Bic Camera and clothing brand Uniqlo.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9551288190a583e8291c35f521 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4560008c81908ebd278c3dc45045 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:08 a.m.