Triple
T14906107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia N93 |
E360133
|
entity |
| Predicate | batteryModel |
P4861
|
FINISHED |
| Object |
BP-6M
BP-6M is a Nokia lithium-ion mobile phone battery model commonly used in mid-2000s Nokia smartphones such as the N93.
|
E1127606
|
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: BP-6M | Statement: [Nokia N93, batteryModel, BP-6M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BP-6M Context triple: [Nokia N93, batteryModel, BP-6M]
-
A.
BP-5L
BP-5L is a Nokia lithium-ion rechargeable battery model commonly used in various Nokia mobile phones, including business-oriented devices like the E50.
-
B.
BP-4L
BP-4L is a high-capacity lithium-ion rechargeable battery commonly used in various Nokia smartphones and mobile devices.
-
C.
BPS-6
BPS-6 is a mid-level pay scale or job grade in a structured salary or civil service classification system, positioned above BPS-5.
-
D.
M-600
M-600 is a regional road in the Community of Madrid, Spain, that connects several towns including Brunete.
-
E.
BPS-16
BPS-16 is a mid-level government job grade in Pakistan’s Basic Pay Scale system, typically covering supervisory, professional, and entry-level gazetted positions with corresponding salary and benefits.
- 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: BP-6M Triple: [Nokia N93, batteryModel, BP-6M]
Generated description
BP-6M is a Nokia lithium-ion mobile phone battery model commonly used in mid-2000s Nokia smartphones such as the N93.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BP-6M Target entity description: BP-6M is a Nokia lithium-ion mobile phone battery model commonly used in mid-2000s Nokia smartphones such as the N93.
-
A.
BP-5L
BP-5L is a Nokia lithium-ion rechargeable battery model commonly used in various Nokia mobile phones, including business-oriented devices like the E50.
-
B.
BP-4L
BP-4L is a high-capacity lithium-ion rechargeable battery commonly used in various Nokia smartphones and mobile devices.
-
C.
BPS-6
BPS-6 is a mid-level pay scale or job grade in a structured salary or civil service classification system, positioned above BPS-5.
-
D.
M-600
M-600 is a regional road in the Community of Madrid, Spain, that connects several towns including Brunete.
-
E.
BPS-16
BPS-16 is a mid-level government job grade in Pakistan’s Basic Pay Scale system, typically covering supervisory, professional, and entry-level gazetted positions with corresponding salary and benefits.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b7640c8190b463f69fb67fd30a |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe771e361481908b58eb38f804f650 |
completed | May 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe77fef3d88190afbd7839c4625226 |
completed | May 8, 2026, 11:55 p.m. |
Created at: April 10, 2026, 2:12 a.m.