Triple
T14336743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | nimoca |
E355484
|
entity |
| Predicate | operatorAbbreviation |
P43
|
FINISHED |
| Object |
Nishitetsu
Nishitetsu is a major Japanese private railway and bus company based in Fukuoka, operating extensive public transportation networks across the Kyushu region.
|
E1093012
|
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: Nishitetsu | Statement: [nimoca, operatorAbbreviation, Nishitetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nishitetsu Context triple: [nimoca, operatorAbbreviation, Nishitetsu]
-
A.
Nissho
Nissho was a prominent disciple of the Japanese Buddhist monk Nichiren who helped propagate and systematize Nichiren Buddhism.
-
B.
Mitsushō
Mitsushō was a former town in Hokkaido, Japan, that later became part of the newly created town of Shinhidaka through a municipal merger.
-
C.
Nisshoki
Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
-
D.
Tokyo Denki
Tokyo Denki was a Japanese electrical company that became a predecessor of the modern electronics conglomerate Toshiba.
-
E.
Yoshimoto Kogyo
Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
- 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: Nishitetsu Triple: [nimoca, operatorAbbreviation, Nishitetsu]
Generated description
Nishitetsu is a major Japanese private railway and bus company based in Fukuoka, operating extensive public transportation networks across the Kyushu region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nishitetsu Target entity description: Nishitetsu is a major Japanese private railway and bus company based in Fukuoka, operating extensive public transportation networks across the Kyushu region.
-
A.
Nissho
Nissho was a prominent disciple of the Japanese Buddhist monk Nichiren who helped propagate and systematize Nichiren Buddhism.
-
B.
Mitsushō
Mitsushō was a former town in Hokkaido, Japan, that later became part of the newly created town of Shinhidaka through a municipal merger.
-
C.
Nisshoki
Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
-
D.
Tokyo Denki
Tokyo Denki was a Japanese electrical company that became a predecessor of the modern electronics conglomerate Toshiba.
-
E.
Yoshimoto Kogyo
Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46986758819088750150ad47bae1 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47a9b5008190a15de0f427771505 |
completed | May 8, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4828f44c81908903d1391c83cc60 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:14 a.m.