Triple
T14772767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōta Dōkan |
E347177
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Ota Dokan
Ota Dokan was a 15th-century Japanese samurai, military strategist, and architect best known for constructing the original Edo Castle, which later became the core of modern Tokyo.
|
E1119464
|
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: Ota Dokan | Statement: [Ōta Dōkan, name, Ota Dokan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ota Dokan Context triple: [Ōta Dōkan, name, Ota Dokan]
-
A.
Dokos
Dokos is a small, sparsely inhabited Greek island in the Saronic Gulf, known for its rugged landscape and archaeological significance.
-
B.
Dokki
Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
-
C.
Dokka
Dokka is a small Norwegian town that serves as a local commercial and service center in the inland region of Oppland.
-
D.
Takas
Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
-
E.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
- 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: Ota Dokan Triple: [Ōta Dōkan, name, Ota Dokan]
Generated description
Ota Dokan was a 15th-century Japanese samurai, military strategist, and architect best known for constructing the original Edo Castle, which later became the core of modern Tokyo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ota Dokan Target entity description: Ota Dokan was a 15th-century Japanese samurai, military strategist, and architect best known for constructing the original Edo Castle, which later became the core of modern Tokyo.
-
A.
Dokos
Dokos is a small, sparsely inhabited Greek island in the Saronic Gulf, known for its rugged landscape and archaeological significance.
-
B.
Dokki
Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
-
C.
Dokka
Dokka is a small Norwegian town that serves as a local commercial and service center in the inland region of Oppland.
-
D.
Takas
Takas is a dialect of the Mwaghavul language spoken by a subgroup of the Mwaghavul people in Nigeria’s Plateau State.
-
E.
Bisher Bashi
Bisher Bashi is a renowned Bengali poetry collection by Kazi Nazrul Islam, noted for its intense emotional expression and revolutionary themes.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cfd26fc81909fba39c8705437ed |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe17fc37ec8190b2e9c786a5e7843e |
completed | May 8, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe18786294819080ce5ee0d8af00c9 |
completed | May 8, 2026, 5:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.