Triple
T223131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Amstel |
E4259
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object |
NS Stations
NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
|
E28407
|
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: NS Stations | Statement: [Amsterdam Amstel, ownedBy, NS Stations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NS Stations Context triple: [Amsterdam Amstel, ownedBy, NS Stations]
-
A.
Ayer station
Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
-
B.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
C.
Edison station
Edison station is a New Jersey Transit commuter rail stop on the Northeast Corridor Line serving the township of Edison, New Jersey.
-
D.
Station HYPO
Station HYPO was a U.S. Navy signals intelligence and cryptanalysis unit in Hawaii that played a crucial role in breaking Japanese naval codes and enabling the American victory at the Battle of Midway.
-
E.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
- 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: NS Stations Triple: [Amsterdam Amstel, ownedBy, NS Stations]
Generated description
NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NS Stations Target entity description: NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
-
A.
Ayer station
Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
-
B.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
-
C.
Edison station
Edison station is a New Jersey Transit commuter rail stop on the Northeast Corridor Line serving the township of Edison, New Jersey.
-
D.
Station HYPO
Station HYPO was a U.S. Navy signals intelligence and cryptanalysis unit in Hawaii that played a crucial role in breaking Japanese naval codes and enabling the American victory at the Battle of Midway.
-
E.
Namba Station
Namba Station is one of Osaka’s major railway and subway terminals, serving as a key commercial and transportation hub in the city’s bustling Namba district.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c7194fc8190a2d02d446ae3a75e |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a34d96acd88190ae3c8c86bee2572c |
completed | Feb. 28, 2026, 8:18 p.m. |
| NEDg | Description generation | batch_69a351694cf48190a87a4135868cab86 |
completed | Feb. 28, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a351c25af08190858e4d6644ddd75d |
completed | Feb. 28, 2026, 8:36 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.