Triple
T9301701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Styal railway station |
E223777
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
SYA
SYA is the three-letter National Rail station code for Styal railway station in Cheshire, England.
|
E789497
|
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: SYA | Statement: [Styal railway station, stationCode, SYA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SYA Context triple: [Styal railway station, stationCode, SYA]
-
A.
SY
SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
-
B.
GYA
GYA is the IATA airport code for Guayaramerín Airport serving the town of Guayaramerín in Bolivia.
-
C.
SYP
SYP is the ISO 4217 currency code for the Syrian pound, the official monetary unit of Syria.
-
D.
SYR
SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
-
E.
YIA
YIA is the IATA airport code for Yogyakarta International Airport, the main commercial air gateway serving the Yogyakarta region in Indonesia.
- 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: SYA Triple: [Styal railway station, stationCode, SYA]
Generated description
SYA is the three-letter National Rail station code for Styal railway station in Cheshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SYA Target entity description: SYA is the three-letter National Rail station code for Styal railway station in Cheshire, England.
-
A.
SY
SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
-
B.
GYA
GYA is the IATA airport code for Guayaramerín Airport serving the town of Guayaramerín in Bolivia.
-
C.
SYP
SYP is the ISO 4217 currency code for the Syrian pound, the official monetary unit of Syria.
-
D.
SYR
SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
-
E.
YIA
YIA is the IATA airport code for Yogyakarta International Airport, the main commercial air gateway serving the Yogyakarta region in Indonesia.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d1d954819098be177addafa406 |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b26302608190a59f3ed0694ce6d9 |
completed | April 4, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69d0b3234d088190a8ed13b4d4772fb5 |
completed | April 4, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b3bcd5548190ba1af3d0fa72780a |
completed | April 4, 2026, 6:46 a.m. |
Created at: March 30, 2026, 7:36 p.m.