Triple
T13740853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shotton railway station |
E330079
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
SHT
SHT is the National Rail station code for Shotton railway station in Flintshire, Wales.
|
E1057734
|
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: SHT | Statement: [Shotton railway station, hasStationCode, SHT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHT Context triple: [Shotton railway station, hasStationCode, SHT]
-
A.
SHTP
SHTP is a major technology and innovation hub in Ho Chi Minh City, Vietnam, designed to attract high-tech industries, research, and development.
-
B.
Sh1
Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
-
C.
SH
SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
-
D.
SH
SH is the vehicle registration code for the Swiss canton of Schaffhausen.
-
E.
STH
STH is the commonly used abbreviation for St Helens R.F.C., a professional rugby league club based in St Helens, Merseyside, 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: SHT Triple: [Shotton railway station, hasStationCode, SHT]
Generated description
SHT is the National Rail station code for Shotton railway station in Flintshire, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SHT Target entity description: SHT is the National Rail station code for Shotton railway station in Flintshire, Wales.
-
A.
SHTP
SHTP is a major technology and innovation hub in Ho Chi Minh City, Vietnam, designed to attract high-tech industries, research, and development.
-
B.
Sh1
Sh1 is a Georgian mountain road route that traverses the Goderdzi Pass, connecting regions across the Lesser Caucasus.
-
C.
SH
SH is the common abbreviation for Södertörn University, a higher education institution located in the Stockholm region of Sweden.
-
D.
SH
SH is the vehicle registration code for the Swiss canton of Schaffhausen.
-
E.
STH
STH is the commonly used abbreviation for St Helens R.F.C., a professional rugby league club based in St Helens, Merseyside, 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6db3a48190a4f3595355f9073b |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79ee1eaf88190a3ee3b9a20271ea8 |
completed | May 3, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79f7216b08190800165d46172222c |
completed | May 3, 2026, 7:18 p.m. |
Created at: April 9, 2026, 9:55 p.m.