Triple
T11657628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UIQ |
E277049
|
entity |
| Predicate | usedByManufacturer |
P5104
|
FINISHED |
| Object |
Arima
Arima is a device manufacturer known for producing mobile phones and other electronics, including models that have used the UIQ smartphone platform.
|
E1172544
|
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: Arima | Statement: [UIQ, usedByManufacturer, Arima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arima Context triple: [UIQ, usedByManufacturer, Arima]
-
A.
Arima
Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
-
B.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
C.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
D.
Ichihara
Ichihara is a coastal industrial city in Chiba Prefecture, Japan, known for its large petrochemical complexes and proximity to Tokyo Bay.
-
E.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of 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: Arima Triple: [UIQ, usedByManufacturer, Arima]
Generated description
Arima is a device manufacturer known for producing mobile phones and other electronics, including models that have used the UIQ smartphone platform.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arima Target entity description: Arima is a device manufacturer known for producing mobile phones and other electronics, including models that have used the UIQ smartphone platform.
-
A.
Arima
Arima is a borough and one of the major urban centers in eastern Trinidad, known for its cultural heritage and role as a commercial hub in Trinidad and Tobago.
-
B.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
-
C.
Higashikurume
Higashikurume is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and role as a commuter area for central Tokyo.
-
D.
Ichihara
Ichihara is a coastal industrial city in Chiba Prefecture, Japan, known for its large petrochemical complexes and proximity to Tokyo Bay.
-
E.
Fujinomiya
Fujinomiya is a city in Shizuoka Prefecture, Japan, known as a major gateway to Mount Fuji and for its scenic views of 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7559f0448190a992f0770ac8227a |
completed | May 9, 2026, 5:56 p.m. |
| NEDg | Description generation | batch_69ff77d4884c81909d43e590d406feff |
completed | May 9, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff780af73c81909a98f67bd53f7348 |
completed | May 9, 2026, 6:08 p.m. |
Created at: April 8, 2026, 9:39 p.m.