Triple
T16092132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marunouchi Line |
E390381
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object | Yotsuya |
E155796
|
NE 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: Yotsuya | Statement: [Marunouchi Line, servesArea, Yotsuya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yotsuya Context triple: [Marunouchi Line, servesArea, Yotsuya]
-
A.
Yotsuya
chosen
Yotsuya is a district in Shinjuku, Tokyo, known for its mix of residential neighborhoods, historic temples, and educational institutions.
-
B.
Yotsuya Station
Yotsuya Station is a major railway hub in Tokyo’s Shinjuku and Chiyoda wards, serving multiple JR and Tokyo Metro lines and providing access to nearby government, educational, and historic sites.
-
C.
Kabukichō
Kabukichō is Tokyo’s most famous red-light and entertainment district, known for its neon-lit streets packed with bars, host and hostess clubs, restaurants, and nightlife venues.
-
D.
Nonbei Yokocho
Nonbei Yokocho is a narrow, atmospheric alleyway in Tokyo famed for its tiny, traditional bars and izakayas that evoke the city’s postwar drinking culture.
-
E.
Bakurochō
Bakurochō is a commercial district in Tokyo known historically as a wholesale textile and clothing center with convenient access to major rail and transit lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858d1264819099434d7201614d05 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9550f0819092660f6c4b0d708e |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:59 a.m.