Triple
T11960652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3 |
E284660
|
entity |
| Predicate | series |
P1761
|
FINISHED |
| Object | Nokia 3 series |
E284660
|
NE FINISHED |
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: Nokia 3 series | Statement: [Nokia 3, series, Nokia 3 series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nokia 3 series Context triple: [Nokia 3, series, Nokia 3 series]
-
A.
Nokia 3 series
chosen
The Nokia 3 series is a line of budget-friendly Android smartphones positioned as entry-level devices within the modern Nokia-branded lineup.
-
B.
Nokia 2 series
The Nokia 2 series is a line of budget-friendly Android smartphones known for their long battery life and simple, durable design.
-
C.
Nokia 5 series
The Nokia 5 series is a line of mid-range Android smartphones known for their clean software, solid build quality, and value-focused design under the revived Nokia brand.
-
D.
Nokia 3000 series
The Nokia 3000 series is a family of mid-range mobile phones known for their practical features, durable design, and popularity during the early 2000s.
-
E.
Nokia 3390
The Nokia 3390 is a popular early-2000s GSM mobile phone known for its durable build, customizable faceplates, and classic features like SMS and Snake.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9036941948190b150369094551731 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471d625c88190baed4ea08853988a |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.