Triple
T9953365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lekki |
E195384
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Nokki
Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
|
E830257
|
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: Nokki | Statement: [Lekki, associatedWith, Nokki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nokki Context triple: [Lekki, associatedWith, Nokki]
-
A.
Nokki
Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
-
B.
Noki
Noki are a species of shell-wearing, sea snail-like inhabitants of Isle Delfino known for their peaceful, oceanic lifestyle in the Super Mario series.
-
C.
Nokia 3410
The Nokia 3410 is an early-2000s GSM mobile phone known for its durable design, long battery life, and support for Java-based games and applications.
-
D.
Mio
Mio is the Japanese-led Mercury Magnetospheric Orbiter, a component of the joint ESA–JAXA BepiColombo mission designed to study Mercury’s magnetic field and space environment.
-
E.
Nokia 3360
The Nokia 3360 is a popular early-2000s candybar-style mobile phone known for its durability, long battery life, and classic features like SMS texting and built-in games such as Snake.
- 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: Nokki Triple: [Lekki, associatedWith, Nokki]
Generated description
Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nokki Target entity description: Nokki is likely a lesser-known entity, possibly a business, brand, or local initiative connected to the Lekki area of Lagos, Nigeria.
-
A.
Nokki
Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
-
B.
Noki
Noki are a species of shell-wearing, sea snail-like inhabitants of Isle Delfino known for their peaceful, oceanic lifestyle in the Super Mario series.
-
C.
Nokia 3410
The Nokia 3410 is an early-2000s GSM mobile phone known for its durable design, long battery life, and support for Java-based games and applications.
-
D.
Mio
Mio is the Japanese-led Mercury Magnetospheric Orbiter, a component of the joint ESA–JAXA BepiColombo mission designed to study Mercury’s magnetic field and space environment.
-
E.
Nokia 3360
The Nokia 3360 is a popular early-2000s candybar-style mobile phone known for its durability, long battery life, and classic features like SMS texting and built-in games such as Snake.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb693918081908e9f96ef302235ad |
completed | April 2, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2293dc93881908aff4cb3640c0edf |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d229b3b200819083aa90f64eaec9e8 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a2d14fc8190b2493ce571811d43 |
completed | April 5, 2026, 9:23 a.m. |
Created at: March 30, 2026, 8:46 p.m.