Triple
T19953730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grateley railway station |
E479628
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
GRT
GRT is the National Rail station code for Grateley railway station in Hampshire, England.
|
E1403563
|
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: GRT | Statement: [Grateley railway station, hasStationCode, GRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRT Context triple: [Grateley railway station, hasStationCode, GRT]
-
A.
GRZ
GRZ is the IATA airport code for Graz Airport, the main international airport serving the city of Graz in Austria.
-
B.
GRZ
GRZ is the vehicle registration code used for motor vehicles registered in the town of Greiz in Germany.
-
C.
GRJ
GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
-
D.
GAR
GAR is the Spanish Civil Guard’s elite Rapid Action Group, a specialized unit focused on counterterrorism and high-risk operations.
-
E.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
- 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: GRT Triple: [Grateley railway station, hasStationCode, GRT]
Generated description
GRT is the National Rail station code for Grateley railway station in Hampshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GRT Target entity description: GRT is the National Rail station code for Grateley railway station in Hampshire, England.
-
A.
GRZ
GRZ is the IATA airport code for Graz Airport, the main international airport serving the city of Graz in Austria.
-
B.
GRZ
GRZ is the vehicle registration code used for motor vehicles registered in the town of Greiz in Germany.
-
C.
GRJ
GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
-
D.
GAR
GAR is the Spanish Civil Guard’s elite Rapid Action Group, a specialized unit focused on counterterrorism and high-risk operations.
-
E.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aee23488190bd92c1593fbc241c |
completed | April 20, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6f6b3b8819095610f80c7ab94d1 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f79a4e5081908b92f3268f43fe5a |
completed | May 16, 2026, 4:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f813ea288190825eebcc1bf705b3 |
completed | May 16, 2026, 4:52 a.m. |
Created at: April 10, 2026, 1:54 p.m.