Triple
T1742795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama |
E38268
|
entity |
| Predicate | containsAdministrativeUnit |
P3892
|
FINISHED |
| Object |
Kodaira
Kodaira is a suburban city in western Tokyo, Japan, known as a residential area with parks, schools, and convenient rail access to central Tokyo.
|
E346139
|
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: Kodaira | Statement: [Tama, containsAdministrativeUnit, Kodaira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodaira Context triple: [Tama, containsAdministrativeUnit, Kodaira]
-
A.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
B.
Murayama
Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
D.
Moriyama
Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
-
E.
Nakano
Nakano is a special ward in Tokyo, Japan, known for its dense urban neighborhoods, anime and subculture shopping areas, and convenient access to central Tokyo.
- 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: Kodaira Triple: [Tama, containsAdministrativeUnit, Kodaira]
Generated description
Kodaira is a suburban city in western Tokyo, Japan, known as a residential area with parks, schools, and convenient rail access to central Tokyo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kodaira Target entity description: Kodaira is a suburban city in western Tokyo, Japan, known as a residential area with parks, schools, and convenient rail access to central Tokyo.
-
A.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
B.
Murayama
Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Takamado
Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
-
D.
Moriyama
Moriyama is a Japanese city located in Shiga Prefecture, known for its position near Lake Biwa and its blend of residential areas and historical sites.
-
E.
Nakano
Nakano is a special ward in Tokyo, Japan, known for its dense urban neighborhoods, anime and subculture shopping areas, and convenient access to central Tokyo.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abaffd9b68819084f6c4d5e1aace1e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f394df3c819087cd773980b42f2e |
completed | March 12, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_69b2fa7e00f48190b9b30964edd6f00d |
completed | March 12, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b30ca956bc81908fd05d6ae9590738 |
completed | March 12, 2026, 6:57 p.m. |
Created at: March 4, 2026, 7:30 p.m.