Triple
T12718146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3510 |
E303900
|
entity |
| Predicate | supportsPredictiveText |
P95862
|
FINISHED |
| Object | T9 |
E984919
|
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: T9 | Statement: [Nokia 3510, supportsPredictiveText, T9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T9 Context triple: [Nokia 3510, supportsPredictiveText, T9]
-
A.
T9
T9 is a tram line designation used in the Lyon public transport network in France.
-
B.
T9
chosen
T9 is a predictive text input technology used on mobile phones to speed up typing by guessing words from keypress combinations.
-
C.
Terminal T9
Terminal T9 was the former designation for what is now known as Terminal 3 at Paris Charles de Gaulle Airport, serving low-cost and charter airline operations.
-
D.
Telecip
Telecip is a French film production company best known for backing the 1976 Academy Award–winning war satire "Black and White in Color."
-
E.
Teclea
Teclea is a genus of flowering plants in the citrus family Rutaceae, native to parts of Africa and known for its aromatic foliage.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9625d9da48190ab377f9328a0e1f5 |
completed | April 10, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671bcc10481909f150989f9545752 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.