Triple
T7821501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truro railway station |
E181138
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
TRU
TRU is the National Rail station code for Truro railway station in Cornwall, England.
|
E695086
|
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: TRU | Statement: [Truro railway station, hasStationCode, TRU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRU Context triple: [Truro railway station, hasStationCode, TRU]
-
A.
TRU
TRU is the IATA airport code for Capitán FAP Carlos Martínez de Pinillos International Airport serving Trujillo, Peru.
-
B.
TRU
TRU is the stock ticker symbol for TransUnion, a major American consumer credit reporting agency and data analytics company.
-
C.
TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
-
D.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
E.
TR
TR is the postcode area covering Truro and much of Cornwall in southwest England.
- 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: TRU Triple: [Truro railway station, hasStationCode, TRU]
Generated description
TRU is the National Rail station code for Truro railway station in Cornwall, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TRU Target entity description: TRU is the National Rail station code for Truro railway station in Cornwall, England.
-
A.
TRU
TRU is the stock ticker symbol for TransUnion, a major American consumer credit reporting agency and data analytics company.
-
B.
TRU
TRU is the IATA airport code for Capitán FAP Carlos Martínez de Pinillos International Airport serving Trujillo, Peru.
-
C.
TR
TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
-
D.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
-
E.
TR
TR is the postcode area covering Truro and much of Cornwall in southwest England.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa083fe88190a77efb7cfee4bd6f |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb149bae408190a931ecbc803b0850 |
completed | March 31, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69cb1734159881909590ed51e8920387 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a62569c81908709d814954f667e |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:41 p.m.