Triple
T16536589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishida Kitaro |
E401707
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Unoke
Unoke is a town in Ishikawa Prefecture, Japan, known as the birthplace of the influential philosopher Nishida Kitaro.
|
E1217905
|
NE FINISHED |
How this triple was built (4 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: Unoke | Statement: [Nishida Kitaro, birthPlace, Unoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unoke Context triple: [Nishida Kitaro, birthPlace, Unoke]
-
A.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
-
B.
Vereide
Vereide is a small village in Gloppen Municipality in Vestland county, Norway, known for its scenic fjordside location and historic church.
-
C.
Otuoke
Otuoke is a town in Bayelsa State, Nigeria, known as the hometown of former President Goodluck Jonathan.
-
D.
Norg
Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
-
E.
Karosta
Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Unoke Triple: [Nishida Kitaro, birthPlace, Unoke]
Generated description
Unoke is a town in Ishikawa Prefecture, Japan, known as the birthplace of the influential philosopher Nishida Kitaro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Unoke Target entity description: Unoke is a town in Ishikawa Prefecture, Japan, known as the birthplace of the influential philosopher Nishida Kitaro.
-
A.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
-
B.
Vereide
Vereide is a small village in Gloppen Municipality in Vestland county, Norway, known for its scenic fjordside location and historic church.
-
C.
Otuoke
Otuoke is a town in Bayelsa State, Nigeria, known as the hometown of former President Goodluck Jonathan.
-
D.
Norg
Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
-
E.
Karosta
Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
- F. None of above. chosen
Provenance (5 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34558ec448190a6dcc15d62d1889c |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0060eca9fc81908f376cd2f7219bcd |
completed | May 10, 2026, 10:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00622f44ec8190a7d66c7882ae28b2 |
completed | May 10, 2026, 10:47 a.m. |
Created at: April 10, 2026, 5:15 a.m.