Triple
T15401874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trenitalia Tper |
E368338
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object |
TPER
TPER is an Italian public transport company that manages regional bus and rail services, particularly in the Emilia-Romagna region.
|
E1155238
|
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: TPER | Statement: [Trenitalia Tper, parentCompany, TPER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TPER Context triple: [Trenitalia Tper, parentCompany, TPER]
-
A.
T&P
T&P is the common abbreviation for the historic Texas and Pacific Railway, a major railroad that operated across Texas and the southwestern United States.
-
B.
TP
TP is a hip-hop artist affiliated with the independent rap label Jamla Records, known for its roster of lyrically focused and soulful acts.
-
C.
TP
TP is the two-letter IATA airline designator used to identify TAP Air Portugal on tickets, timetables, and flight information systems.
-
D.
t_P
t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
-
E.
TPR
TPR is the stock ticker symbol for Tapestry, Inc., an American luxury fashion holding company that owns brands such as Coach, Kate Spade, and Stuart Weitzman.
- 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: TPER Triple: [Trenitalia Tper, parentCompany, TPER]
Generated description
TPER is an Italian public transport company that manages regional bus and rail services, particularly in the Emilia-Romagna region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TPER Target entity description: TPER is an Italian public transport company that manages regional bus and rail services, particularly in the Emilia-Romagna region.
-
A.
T&P
T&P is the common abbreviation for the historic Texas and Pacific Railway, a major railroad that operated across Texas and the southwestern United States.
-
B.
TP
TP is the two-letter IATA airline designator used to identify TAP Air Portugal on tickets, timetables, and flight information systems.
-
C.
TP
TP is a hip-hop artist affiliated with the independent rap label Jamla Records, known for its roster of lyrically focused and soulful acts.
-
D.
t_P
t_P denotes the Planck time, the fundamental unit of time in physics derived from universal constants and representing the shortest meaningful interval in current physical theories.
-
E.
TPR
TPR is the stock ticker symbol for Tapestry, Inc., an American luxury fashion holding company that owns brands such as Coach, Kate Spade, and Stuart Weitzman.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ea0ac8190a5c68b1951ad3db1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13584f8881908b2527c51f85ae28 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff145ac8e081908b075cee67e82aa3 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1509e5a48190b69f1a44d793e07d |
completed | May 9, 2026, 11:05 a.m. |
Created at: April 10, 2026, 3:19 a.m.