Triple
T28187842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 愛知県豊橋市 |
E716224
|
entity |
| Predicate | hasRiverTerrace |
P174267
|
FINISHED |
| Object |
豊橋平野
豊橋平野は、愛知県東部の豊橋市周辺に広がる、豊川などの河川によって形成された沖積低地を中心とする平野地帯である。
|
E1804834
|
NE FINISHED |
How this triple was built (3 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: 豊橋平野 | Statement: [愛知県豊橋市, hasRiverTerrace, 豊橋平野]
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: 豊橋平野 Triple: [愛知県豊橋市, hasRiverTerrace, 豊橋平野]
Generated description
豊橋平野は、愛知県東部の豊橋市周辺に広がる、豊川などの河川によって形成された沖積低地を中心とする平野地帯である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverTerrace Context triple: [愛知県豊橋市, hasRiverTerrace, 豊橋平野]
-
A.
hasRiverCommunity
Indicates that there is a community located along, dependent on, or closely associated with a particular river.
-
B.
hasTerrace
Indicates that one entity includes, features, or is equipped with a terrace as part of its structure or property.
-
C.
hasRiverValleyPark
Indicates that a place includes or is associated with a park located in or along a river valley.
-
D.
hasRiverBeach
Indicates that a location includes or is characterized by a beach area along a river.
-
E.
hasRiverfrontDistrict
Indicates that a place includes a designated district or area that directly borders and is oriented around a river.
- F. None of above. chosen
Provenance (7 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15d7cb96c48190a4e9248c31aad92a |
completed | May 26, 2026, 5:26 p.m. |
| NEDg | Description generation | batch_6a15d8f3f6ac819089bad6bb160d76b6 |
completed | May 26, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15d9c2a704819095e2c65e42d63a17 |
completed | May 26, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 27, 2026, 10:24 p.m.