Triple
T15257970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trenitalia |
E364696
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TI |
E588965
|
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: TI | Statement: [Trenitalia, abbreviation, TI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TI Context triple: [Trenitalia, abbreviation, TI]
-
A.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
-
B.
TI
chosen
TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
-
C.
TI
TI is a popular hotel and casino on the Las Vegas Strip known for its pirate-themed past and vibrant resort atmosphere.
-
D.
TI
TI is the commonly used abbreviation for Newfoundland and Labrador’s provincial Department of Transportation and Infrastructure, which oversees the planning, construction, and maintenance of public transportation networks and related infrastructure.
-
E.
Ti
Ti was an ancient Egyptian official of the Fifth Dynasty, known from his elaborately decorated mastaba tomb at Saqqara that provides important insights into Old Kingdom life and art.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084d11148190919eef8e55569bb9 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f9a0708190bc429692788a63d7 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:13 a.m.