Triple
T15653561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsuru |
E376371
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Doshi |
E1121855
|
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: Doshi | Statement: [Tsuru, borderedBy, Doshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doshi Context triple: [Tsuru, borderedBy, Doshi]
-
A.
Doshi
Doshi is an Indian surname notably associated with the acclaimed architect and Pritzker Prize laureate Balkrishna Doshi.
-
B.
Doshi
chosen
Doshi is a town in northern Afghanistan that serves as a local administrative and commercial center in Baghlan Province.
-
C.
Daisi
Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
-
D.
Toshi
Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
-
E.
Dinsho
Dinsho is a small town in Ethiopia’s Bale Mountains region, known as a gateway to Bale Mountains National Park and a base for trekking and wildlife viewing.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.