Triple
T7998424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashiwa |
E186184
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object |
Abiko
Abiko is a city in Chiba Prefecture, Japan, known for its residential character and location along the JR Joban Line northeast of central Tokyo.
|
E703912
|
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: Abiko | Statement: [Kashiwa, neighboringMunicipality, Abiko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abiko Context triple: [Kashiwa, neighboringMunicipality, Abiko]
-
A.
Awaba
Awaba is an Aboriginal name historically used for Lake Macquarie, a large coastal lake in New South Wales, Australia.
-
B.
Ibuki
Ibuki is the nickname of Japan’s Greenhouse Gases Observing Satellite (GOSAT), an Earth observation mission dedicated to monitoring global greenhouse gas concentrations from space.
-
C.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
D.
Tokiko
Tokiko, also known as Taira no Tokiko or the Nun of Second Rank, was a prominent noblewoman of the late Heian period and stepmother of Emperor Antoku, influential within the powerful Taira clan.
-
E.
Hisako
Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
- 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: Abiko Triple: [Kashiwa, neighboringMunicipality, Abiko]
Generated description
Abiko is a city in Chiba Prefecture, Japan, known for its residential character and location along the JR Joban Line northeast of central Tokyo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abiko Target entity description: Abiko is a city in Chiba Prefecture, Japan, known for its residential character and location along the JR Joban Line northeast of central Tokyo.
-
A.
Awaba
Awaba is an Aboriginal name historically used for Lake Macquarie, a large coastal lake in New South Wales, Australia.
-
B.
Ibuki
Ibuki is the nickname of Japan’s Greenhouse Gases Observing Satellite (GOSAT), an Earth observation mission dedicated to monitoring global greenhouse gas concentrations from space.
-
C.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
-
D.
Tokiko
Tokiko, also known as Taira no Tokiko or the Nun of Second Rank, was a prominent noblewoman of the late Heian period and stepmother of Emperor Antoku, influential within the powerful Taira clan.
-
E.
Hisako
Hisako is a member of the Japanese imperial family known as Princess Takamado, recognized for her cultural, charitable, and international goodwill activities.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c9a12788190a5607a538f4e07c1 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe114372c819086f06e184d5ebde2 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe440a66c8190a5d5b417fb5082b7 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc338a1c48819086ece073e04e8fa6 |
completed | March 31, 2026, 8:50 p.m. |
Created at: March 30, 2026, 5:17 p.m.