Triple
T15335381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyoda |
E366650
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
行田市
行田市は、埼玉県北部に位置し、古代の埼玉古墳群や足袋産業の歴史で知られる市です。
|
E1152369
|
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: 行田市 | Statement: [Gyoda, hasJapaneseName, 行田市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 行田市 Context triple: [Gyoda, hasJapaneseName, 行田市]
-
A.
永田町
永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
-
B.
交野市
交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
-
C.
稲城市
稲城市 is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, greenery, and role as a commuter town for central Tokyo.
-
D.
野洲市
野洲市 is a city located in Shiga Prefecture, Japan, known for its lakeside setting near Lake Biwa and a mix of residential, agricultural, and light industrial areas.
-
E.
成田市
成田市 is a city in Chiba Prefecture, Japan, best known internationally as the location of Narita International Airport, one of the Tokyo area's main gateways.
- 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: 行田市 Triple: [Gyoda, hasJapaneseName, 行田市]
Generated description
行田市は、埼玉県北部に位置し、古代の埼玉古墳群や足袋産業の歴史で知られる市です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 行田市 Target entity description: 行田市は、埼玉県北部に位置し、古代の埼玉古墳群や足袋産業の歴史で知られる市です。
-
A.
永田町
永田町 is a district in Tokyo’s Chiyoda Ward that serves as Japan’s political center, housing key government institutions and major party headquarters.
-
B.
交野市
交野市は、大阪府北河内地域に位置する自然豊かな住宅都市で、星田妙見宮や天野川などで知られる市です。
-
C.
稲城市
稲城市 is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, greenery, and role as a commuter town for central Tokyo.
-
D.
野洲市
野洲市 is a city located in Shiga Prefecture, Japan, known for its lakeside setting near Lake Biwa and a mix of residential, agricultural, and light industrial areas.
-
E.
成田市
成田市 is a city in Chiba Prefecture, Japan, best known internationally as the location of Narita International Airport, one of the Tokyo area's main gateways.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ee7480819080133a9910a2bf52 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff05fbf6e481909727758ae2699bad |
completed | May 9, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff06e098cc8190ab67143071bca1dc |
completed | May 9, 2026, 10:05 a.m. |
Created at: April 10, 2026, 3:17 a.m.