Triple
T3341560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyderabad Deccan railway station |
E70270
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object |
HYB
HYB is the station code for Hyderabad Deccan, a major railway terminus serving the city of Hyderabad in India.
|
E349877
|
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: HYB | Statement: [Hyderabad Deccan railway station, hasCode, HYB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HYB Context triple: [Hyderabad Deccan railway station, hasCode, HYB]
-
A.
HYS
HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
-
B.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
-
C.
HYA
HYA is the IATA airport code for Barnstable Municipal Airport, a regional airport serving Hyannis on Cape Cod, Massachusetts.
-
D.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
E.
HBC
HBC is the stock ticker symbol for Hudson's Bay Company, a historic Canadian retail business group known for its department stores and real estate holdings.
- 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: HYB Triple: [Hyderabad Deccan railway station, hasCode, HYB]
Generated description
HYB is the station code for Hyderabad Deccan, a major railway terminus serving the city of Hyderabad in India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HYB Target entity description: HYB is the station code for Hyderabad Deccan, a major railway terminus serving the city of Hyderabad in India.
-
A.
HYS
HYS is the National Rail station code for Hayes railway station in the London Borough of Bromley.
-
B.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
-
C.
HYA
HYA is the IATA airport code for Barnstable Municipal Airport, a regional airport serving Hyannis on Cape Cod, Massachusetts.
-
D.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
-
E.
HBC
HBC is the stock ticker symbol for Hudson's Bay Company, a historic Canadian retail business group known for its department stores and real estate holdings.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1ee711481909c0d921f1b5b8562 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a946ba88190bd40ba7481baf28d |
completed | March 12, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69b31c3aaba48190b203e344d71080f3 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31da28a04819096e7ced5f123592a |
completed | March 12, 2026, 8:10 p.m. |
Created at: March 8, 2026, 3:12 p.m.