Triple
T37864768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 嵐電(京福電気鉄道嵐山本線) |
E944439
|
entity |
| Predicate | 歴史的前身 |
P3444
|
FINISHED |
| Object |
京都電燈
京都電燈は、明治期から昭和初期にかけて京都市内で電灯供給や路面電車・鉄道事業を展開した電力・交通会社である。
|
E2245982
|
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: 京都電燈 | Statement: [嵐電(京福電気鉄道嵐山本線), 歴史的前身, 京都電燈]
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: 京都電燈 Triple: [嵐電(京福電気鉄道嵐山本線), 歴史的前身, 京都電燈]
Generated description
京都電燈は、明治期から昭和初期にかけて京都市内で電灯供給や路面電車・鉄道事業を展開した電力・交通会社である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 歴史的前身 Context triple: [嵐電(京福電気鉄道嵐山本線), 歴史的前身, 京都電燈]
-
A.
hasHistoricalOrigin
Indicates that something originated, was first established, or came into existence during a specific historical period or context.
-
B.
hasHistoricalPrecursor
chosen
Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
-
C.
historicalOrigin
Indicates the relationship by which one entity serves as the source, origin, or starting point in history for another entity.
-
D.
historicallyBasedOn
Indicates that something is derived from, inspired by, or modeled on historical events, sources, or precedents.
-
E.
historicallyBorneBy
Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
- F. None of above.
Provenance (6 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a410422d2808190b97cc5270f4aa09d |
completed | June 28, 2026, 11:23 a.m. |
| NEDg | Description generation | batch_6a4104af9ac88190a7ffe368c46f0f8d |
completed | June 28, 2026, 11:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41052129a08190a8e4d598dcd259b2 |
completed | June 28, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.