Triple
T3691594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota T100 |
E78355
|
entity |
| Predicate | assembly |
P19323
|
FINISHED |
| Object |
Hino, Japan
Hino, Japan is a city in western Tokyo known as an industrial hub and manufacturing base for companies such as Toyota.
|
E380274
|
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: Hino, Japan | Statement: [Toyota T100, assembly, Hino, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hino, Japan Context triple: [Toyota T100, assembly, Hino, Japan]
-
A.
Fujinomiya, Japan
Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
-
B.
Tsuyama, Japan
Tsuyama, Japan is a historic city in Okayama Prefecture known for its well-preserved castle ruins, traditional townscape, and famous cherry blossom viewing spots.
-
C.
Ota, Japan
Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
-
D.
Kawanishi
Kawanishi is a city in Hyōgo Prefecture, Japan, known as a residential and commuter town within the Osaka metropolitan area.
-
E.
Fujiyoshida, Japan
Fujiyoshida is a city in Yamanashi Prefecture, Japan, known for its close proximity to Mount Fuji and its role as a gateway for climbers and tourists visiting the iconic volcano.
- 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: Hino, Japan Triple: [Toyota T100, assembly, Hino, Japan]
Generated description
Hino, Japan is a city in western Tokyo known as an industrial hub and manufacturing base for companies such as Toyota.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hino, Japan Target entity description: Hino, Japan is a city in western Tokyo known as an industrial hub and manufacturing base for companies such as Toyota.
-
A.
Fujinomiya, Japan
Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
-
B.
Tsuyama, Japan
Tsuyama, Japan is a historic city in Okayama Prefecture known for its well-preserved castle ruins, traditional townscape, and famous cherry blossom viewing spots.
-
C.
Ota, Japan
Ōta is a special ward in Tokyo, Japan, known for Haneda Airport, its coastal location on Tokyo Bay, and a mix of residential, industrial, and commercial districts.
-
D.
Kawanishi
Kawanishi is a city in Hyōgo Prefecture, Japan, known as a residential and commuter town within the Osaka metropolitan area.
-
E.
Fujiyoshida, Japan
Fujiyoshida is a city in Yamanashi Prefecture, Japan, known for its close proximity to Mount Fuji and its role as a gateway for climbers and tourists visiting the iconic volcano.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3c9e9c08190bd97642ccf39b172 |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c78bca688190bb06f64827285790 |
completed | March 14, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c7f33dec8190b71ea08cb1d34c32 |
completed | March 14, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:26 p.m.