Triple
T17894953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat Ferroviaria |
E447408
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object |
ETR 460
ETR 460 is an Italian high-speed tilting trainset used primarily for fast intercity passenger services.
|
E1296612
|
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: ETR 460 | Statement: [Fiat Ferroviaria, developed, ETR 460]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ETR 460 Context triple: [Fiat Ferroviaria, developed, ETR 460]
-
A.
ETR 450
The ETR 450 is an Italian high-speed tilting trainset introduced in the late 1980s for Trenitalia’s Eurostar services, notable as one of the first production Pendolino trains.
-
B.
ETR 600
The ETR 600 is a class of Italian high-speed tilting electric multiple unit trains used for fast intercity and international services.
-
C.
ETR 401
ETR 401 is an Italian experimental high-speed tilting train prototype built in the 1970s that pioneered active tilting technology for improved speed on curved tracks.
-
D.
ETR 700
ETR 700 is a class of high-speed electric multiple unit trains operated by Trenitalia for intercity and Frecciarossa services in Italy.
-
E.
ETR 500
ETR 500 is Italy’s high-speed electric train series designed for fast intercity services on the country’s dedicated high-speed rail network.
- 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: ETR 460 Triple: [Fiat Ferroviaria, developed, ETR 460]
Generated description
ETR 460 is an Italian high-speed tilting trainset used primarily for fast intercity passenger services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ETR 460 Target entity description: ETR 460 is an Italian high-speed tilting trainset used primarily for fast intercity passenger services.
-
A.
ETR 450
The ETR 450 is an Italian high-speed tilting trainset introduced in the late 1980s for Trenitalia’s Eurostar services, notable as one of the first production Pendolino trains.
-
B.
ETR 600
The ETR 600 is a class of Italian high-speed tilting electric multiple unit trains used for fast intercity and international services.
-
C.
ETR 401
ETR 401 is an Italian experimental high-speed tilting train prototype built in the 1970s that pioneered active tilting technology for improved speed on curved tracks.
-
D.
ETR 700
ETR 700 is a class of high-speed electric multiple unit trains operated by Trenitalia for intercity and Frecciarossa services in Italy.
-
E.
ETR 500
ETR 500 is Italy’s high-speed electric train series designed for fast intercity services on the country’s dedicated high-speed rail network.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7ccf808190b4c1fd477043bcc8 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03212581ec81908efa3f372e69a47d |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a032250fe1c81909fdca0f670ca7e2d |
completed | May 12, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0322b2aa7c8190a8fbd21403a59c3b |
completed | May 12, 2026, 12:53 p.m. |
Created at: April 10, 2026, 10:19 a.m.