Triple
T14167048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 千代田区 |
E351107
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
霞が関
霞が関 is Tokyo’s central government district, housing many of Japan’s key ministries and administrative agencies.
|
E1092219
|
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: 霞が関 | Statement: [千代田区, contains, 霞が関]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 霞が関 Context triple: [千代田区, contains, 霞が関]
-
A.
Hamamatsucho
Hamamatsucho is a central Tokyo district and major transportation hub known for its JR and monorail stations providing access to Haneda Airport and nearby business and waterfront areas.
-
B.
Nagatacho
Nagatacho is a central district in Tokyo, Japan, known as the political heart of the country and home to key government institutions such as the National Diet Building.
-
C.
Otemachi
Otemachi is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
-
D.
Yurakucho
Yurakucho is a lively commercial and entertainment district in central Tokyo known for its shopping complexes, theaters, and atmospheric izakaya alleys beneath the railway tracks.
-
E.
Ginza
"Ginza" is a reggaeton song by Colombian artist J Balvin that became a major Latin hit and helped solidify his international fame.
- 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: 霞が関 Triple: [千代田区, contains, 霞が関]
Generated description
霞が関 is Tokyo’s central government district, housing many of Japan’s key ministries and administrative agencies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 霞が関 Target entity description: 霞が関 is Tokyo’s central government district, housing many of Japan’s key ministries and administrative agencies.
-
A.
Hamamatsucho
Hamamatsucho is a central Tokyo district and major transportation hub known for its JR and monorail stations providing access to Haneda Airport and nearby business and waterfront areas.
-
B.
Nagatacho
Nagatacho is a central district in Tokyo, Japan, known as the political heart of the country and home to key government institutions such as the National Diet Building.
-
C.
Otemachi
Otemachi is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
-
D.
Yurakucho
Yurakucho is a lively commercial and entertainment district in central Tokyo known for its shopping complexes, theaters, and atmospheric izakaya alleys beneath the railway tracks.
-
E.
Ginza
"Ginza" is a reggaeton song by Colombian artist J Balvin that became a major Latin hit and helped solidify his international fame.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d0711688190ab8e90f403082d7a |
completed | May 8, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69fd3ddb3290819097667666905390ff |
completed | May 8, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3ed1fe288190b83dc432b61f0b4f |
completed | May 8, 2026, 1:39 a.m. |
Created at: April 10, 2026, 1 a.m.