Triple
T6587509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiba Lotte Marines |
E159262
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Daimai Orions
Daimai Orions was a former Japanese professional baseball team that later became known as the Chiba Lotte Marines.
|
E603326
|
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: Daimai Orions | Statement: [Chiba Lotte Marines, formerName, Daimai Orions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daimai Orions Context triple: [Chiba Lotte Marines, formerName, Daimai Orions]
-
A.
Shiga Lakestars
Shiga Lakestars is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
-
B.
Saitama Broncos
Saitama Broncos is a professional Japanese basketball team based in Saitama Prefecture that has competed in the country’s top-tier leagues.
-
C.
Oita HeatDevils
Oita HeatDevils was a professional Japanese basketball team based in Ōita that competed in the bj league.
-
D.
Alvark Tokyo
Alvark Tokyo is a professional basketball team based in Tokyo, Japan, competing at the top level of the Japanese B.League.
-
E.
Matsui Juichi
Matsui Juichi was an Imperial Japanese Army general who commanded major units during the Second Sino-Japanese War and played a significant role in Japan’s military operations in China.
- 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: Daimai Orions Triple: [Chiba Lotte Marines, formerName, Daimai Orions]
Generated description
Daimai Orions was a former Japanese professional baseball team that later became known as the Chiba Lotte Marines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daimai Orions Target entity description: Daimai Orions was a former Japanese professional baseball team that later became known as the Chiba Lotte Marines.
-
A.
Shiga Lakestars
Shiga Lakestars is a professional basketball team based in Shiga Prefecture, Japan, competing in the country’s top-tier B.League.
-
B.
Saitama Broncos
Saitama Broncos is a professional Japanese basketball team based in Saitama Prefecture that has competed in the country’s top-tier leagues.
-
C.
Oita HeatDevils
Oita HeatDevils was a professional Japanese basketball team based in Ōita that competed in the bj league.
-
D.
Alvark Tokyo
Alvark Tokyo is a professional basketball team based in Tokyo, Japan, competing at the top level of the Japanese B.League.
-
E.
Matsui Juichi
Matsui Juichi was an Imperial Japanese Army general who commanded major units during the Second Sino-Japanese War and played a significant role in Japan’s military operations in China.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeafd2848190bb51e3ea9711c803 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5794f388190a04f4f9c9e628f22 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d677a74881908e174a6f6c7a5497 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8486534819080b75cad9cc32276 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:55 p.m.