Triple
T11189952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoba-ku, Sendai |
E264770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Aobayama
Aobayama is a hilly, forested area in Sendai known for housing parts of Tohoku University and offering scenic views over the city.
|
E1111746
|
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: Aobayama | Statement: [Aoba-ku, Sendai, contains, Aobayama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aobayama Context triple: [Aoba-ku, Sendai, contains, Aobayama]
-
A.
Yoiyama
Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
-
B.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
-
C.
Nagayama
Nagayama is a residential and commercial district within Tama New Town in Tokyo, Japan, known for its planned urban layout and local amenities.
-
D.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
E.
Osakasayama
Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
- 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: Aobayama Triple: [Aoba-ku, Sendai, contains, Aobayama]
Generated description
Aobayama is a hilly, forested area in Sendai known for housing parts of Tohoku University and offering scenic views over the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aobayama Target entity description: Aobayama is a hilly, forested area in Sendai known for housing parts of Tohoku University and offering scenic views over the city.
-
A.
Yoiyama
Yoiyama is the lively evening street festival held before the main Gion Matsuri parade in Kyoto, featuring illuminated festival floats, food stalls, and traditional music.
-
B.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
-
C.
Nagayama
Nagayama is a residential and commercial district within Tama New Town in Tokyo, Japan, known for its planned urban layout and local amenities.
-
D.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
E.
Osakasayama
Osakasayama is a suburban city in Osaka Prefecture, Japan, known for its residential character and proximity to the Osaka metropolitan area.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8af18e4819091811bca657c9cb0 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5b2fb308190ab041a9cfe39087c |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd75d410481909a33799507689f21 |
completed | May 8, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd7ddc1d88190bc56b1603093a5db |
completed | May 8, 2026, 12:32 p.m. |
Created at: April 8, 2026, 9:29 p.m.