Triple
T18321022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 6300 |
E438878
|
entity |
| Predicate | batteryModel |
P4861
|
FINISHED |
| Object | BL-4C |
—
|
NE NERFINISHED |
How this triple was built (2 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: BL-4C | Statement: [Nokia 6300, batteryModel, BL-4C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BL-4C Context triple: [Nokia 6300, batteryModel, BL-4C]
-
A.
BL-4C
chosen
BL-4C is a compact lithium-ion rechargeable battery commonly used in various Nokia mobile phones.
-
B.
Yongqi
Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
-
C.
BL-6F
BL-6F is a Nokia lithium-ion rechargeable battery model commonly used in certain Nokia smartphones such as the N81.
-
D.
Baojun RC-6
The Baojun RC-6 is a mid-size fastback-style sedan produced by the Chinese automaker Baojun, positioned as an affordable, tech-focused family car.
-
E.
Jiangling
Jiangling was an important ancient Chinese city that served as a major political and cultural center of the State of Chu during the Zhou dynasty period.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.