Triple
T29184701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susukino |
E739834
|
entity |
| Predicate | cityDistrictRank |
P166407
|
FINISHED |
| Object | one of Japan’s largest entertainment districts |
—
|
LITERAL FINISHED |
How this triple was built (2 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: one of Japan’s largest entertainment districts | Statement: [Susukino, cityDistrictRank, one of Japan’s largest entertainment districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityDistrictRank Context triple: [Susukino, cityDistrictRank, one of Japan’s largest entertainment districts]
-
A.
cityDistrictLevel
Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
-
B.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
C.
cityDistrictFunction
Indicates that a specific function, role, or land-use purpose is assigned to or characterizes a particular district within a city.
-
D.
inCityDistrict
Indicates that one entity is located within the boundaries of a specific city district.
-
E.
cityDistrictType
Indicates the type or classification of a city district within an urban or administrative structure.
- F. None of above. chosen
Provenance (4 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66385d3a081908460881857d43322 |
completed | May 2, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 11:59 a.m.