Triple
T14576752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia N73 |
E342071
|
entity |
| Predicate | usb |
P104380
|
FINISHED |
| Object | Pop-Port |
E980475
|
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: Pop-Port | Statement: [Nokia N73, usb, Pop-Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pop-Port Context triple: [Nokia N73, usb, Pop-Port]
-
A.
Pop-Port
chosen
Pop-Port is Nokia’s proprietary multi-pin connector interface used on many of its older mobile phones for data transfer, audio, and accessories.
-
B.
PoP!
PoP! is the fictional 1980s pop duo fronted by Hugh Grant’s character in the romantic comedy film "Music and Lyrics."
-
C.
POP2
POP2 is an updated iteration of the original POP programming language, offering enhanced features and refinements over its predecessor.
-
D.
PoP
PoP is the commonly used abbreviation for the Pride of Performance, a prestigious civil award bestowed by the Government of Pakistan for outstanding achievements in various fields.
-
E.
Popo
Popo is a South African politician best known for his role in the anti-apartheid movement and leadership within the African National Congress.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ace7da48190880a736ead5c4055 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:24 a.m.