Triple
T1592260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumida |
E34202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Honjo
Honjo is a historic district in Tokyo known for its traditional shitamachi atmosphere and close ties to the Sumida River area.
|
E296744
|
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: Honjo | Statement: [Sumida, contains, Honjo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honjo Context triple: [Sumida, contains, Honjo]
-
A.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
-
E.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
- 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: Honjo Triple: [Sumida, contains, Honjo]
Generated description
Honjo is a historic district in Tokyo known for its traditional shitamachi atmosphere and close ties to the Sumida River area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honjo Target entity description: Honjo is a historic district in Tokyo known for its traditional shitamachi atmosphere and close ties to the Sumida River area.
-
A.
Sumoto
Sumoto is a coastal city located on Awaji Island in Japan, known for its hot springs, scenic views of the Seto Inland Sea, and citrus production.
-
B.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
C.
Takatsuki
Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
-
E.
Owada
Owada is a Japanese surname most notably borne by Empress Masako of Japan and her family.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb2c480008190bb472cfdab74c387 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc01252ec8190a14ff51151d8e69e |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc0d32d5881908b80e0bfca5cd873 |
completed | March 10, 2026, 6:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc133f8088190bd505db0d0d1d6f7 |
completed | March 10, 2026, 6:59 a.m. |
Created at: March 4, 2026, 7:27 p.m.