Triple
T586192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Centraal |
E15162
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
ASD
ASD is the official railway station code used to identify Amsterdam Centraal station in the Netherlands.
|
E73360
|
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: ASD | Statement: [Amsterdam Centraal, hasStationCode, ASD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASD Context triple: [Amsterdam Centraal, hasStationCode, ASD]
-
A.
Asperger syndrome
Asperger syndrome is a neurodevelopmental condition on the autism spectrum characterized by difficulties in social interaction and communication alongside focused interests and often average or above-average intelligence.
-
B.
ASA
ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
-
C.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
D.
AS
AS is the official vehicle registration code assigned to the Indian state of Assam.
-
E.
CSD
CSD is the renowned Computer Science Department at Carnegie Mellon University, recognized globally for its pioneering research and education in computer science.
- 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: ASD Triple: [Amsterdam Centraal, hasStationCode, ASD]
Generated description
ASD is the official railway station code used to identify Amsterdam Centraal station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASD Target entity description: ASD is the official railway station code used to identify Amsterdam Centraal station in the Netherlands.
-
A.
Asperger syndrome
Asperger syndrome is a neurodevelopmental condition on the autism spectrum characterized by difficulties in social interaction and communication alongside focused interests and often average or above-average intelligence.
-
B.
ASA
ASA is the commonly used abbreviation for the Acoustical Society of America, a leading scientific society dedicated to the study and advancement of acoustics.
-
C.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
D.
AS
AS is the official vehicle registration code assigned to the Indian state of Assam.
-
E.
CSD
CSD is the renowned Computer Science Department at Carnegie Mellon University, recognized globally for its pioneering research and education in computer science.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9a46388190a094b9ebf8dec397 |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e273f508190bbbec5da99cb8a42 |
completed | March 2, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_69a50ed652148190a84c0d2aa5307211 |
completed | March 2, 2026, 4:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a50f53c16c8190bbeb7fa550ed46b1 |
completed | March 2, 2026, 4:17 a.m. |
Created at: March 1, 2026, 7:33 p.m.