Triple
T7754211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swan Hill railway station |
E175847
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
SHL
SHL is the station code for Swan Hill railway station in Victoria, Australia, a regional terminus on the Swan Hill line.
|
E686508
|
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: SHL | Statement: [Swan Hill railway station, hasStationCode, SHL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHL Context triple: [Swan Hill railway station, hasStationCode, SHL]
-
A.
SHL
SHL is Sweden's top professional ice hockey league, featuring the country's highest-level clubs and serving as a premier European hockey competition.
-
B.
SHEL
SHEL is the stock ticker symbol for Shell plc, a major multinational oil and gas company headquartered in the United Kingdom.
-
C.
SCHL
SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
-
D.
Towers Watson
Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
-
E.
SHLD
SHLD was the stock ticker symbol for Sears Holdings Corporation, the former parent company of Sears and Kmart that filed for bankruptcy in 2018.
- 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: SHL Triple: [Swan Hill railway station, hasStationCode, SHL]
Generated description
SHL is the station code for Swan Hill railway station in Victoria, Australia, a regional terminus on the Swan Hill line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SHL Target entity description: SHL is the station code for Swan Hill railway station in Victoria, Australia, a regional terminus on the Swan Hill line.
-
A.
SHL
SHL is Sweden's top professional ice hockey league, featuring the country's highest-level clubs and serving as a premier European hockey competition.
-
B.
SHEL
SHEL is the stock ticker symbol for Shell plc, a major multinational oil and gas company headquartered in the United Kingdom.
-
C.
SCHL
SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
-
D.
Towers Watson
Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
-
E.
SHLD
SHLD was the stock ticker symbol for Sears Holdings Corporation, the former parent company of Sears and Kmart that filed for bankruptcy in 2018.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703d851d4819091e9117d3f34cb9a |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be5dbf5881908d07d70c8ae061a5 |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bfc8256081908a6ae947d783f19f |
completed | March 29, 2026, 5:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c02e7a548190b2c5ad84e4c3f1fb |
completed | March 29, 2026, 6:01 a.m. |
Created at: March 27, 2026, 4:08 p.m.