Triple

T16816045
Position Surface form Disambiguated ID Type / Status
Subject Nokia 6100 E408751 entity
Predicate batteryModel P4861 FINISHED
Object BL-4C
BL-4C is a compact lithium-ion rechargeable battery commonly used in various Nokia mobile phones.
E1234979 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: BL-4C | Statement: [Nokia 6100, batteryModel, BL-4C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BL-4C
Context triple: [Nokia 6100, batteryModel, BL-4C]
  • A. Yongqi
    Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
  • B. BL-6F
    BL-6F is a Nokia lithium-ion rechargeable battery model commonly used in certain Nokia smartphones such as the N81.
  • C. 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.
  • D. 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.
  • E. Wuling Almaz
    The Wuling Almaz is a compact crossover SUV produced by SAIC-GM-Wuling for markets such as Indonesia, closely related in design and engineering to the MG Hector.
  • 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: BL-4C
Triple: [Nokia 6100, batteryModel, BL-4C]
Generated description
BL-4C is a compact lithium-ion rechargeable battery commonly used in various Nokia mobile phones.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BL-4C
Target entity description: BL-4C is a compact lithium-ion rechargeable battery commonly used in various Nokia mobile phones.
  • A. Yongqi
    Yongqi was a Qing dynasty imperial prince, noted as one of the most talented sons of the Qianlong Emperor before his early death.
  • B. BL-6F
    BL-6F is a Nokia lithium-ion rechargeable battery model commonly used in certain Nokia smartphones such as the N81.
  • C. 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.
  • D. 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.
  • E. Wuling Almaz
    The Wuling Almaz is a compact crossover SUV produced by SAIC-GM-Wuling for markets such as Indonesia, closely related in design and engineering to the MG Hector.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e1de908190aa3508770fb865cf completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b2946ddc81908b1e7c662dc943ff completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b3aafac08190b3e0181780f45392 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:23 a.m.