Triple
T14222792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voorschoten railway station |
E352538
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
VST
VST is the station code for Voorschoten railway station in the Netherlands.
|
E1088594
|
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: VST | Statement: [Voorschoten railway station, hasStationCode, VST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VST Context triple: [Voorschoten railway station, hasStationCode, VST]
-
A.
VST
VST is a wide-field optical survey telescope at the European Southern Observatory’s Paranal Observatory, designed primarily for large-scale imaging of the night sky.
-
B.
VST
VST is the stock ticker symbol for Vistra Corp, a U.S.-based integrated retail and power generation company.
-
C.
Steinberg
Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
-
D.
Steinberg
Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
-
E.
Steinberg
Steinberg is a small settlement in Norway situated along the Drammenselva river, known for its riverside location and local railway station.
- 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: VST Triple: [Voorschoten railway station, hasStationCode, VST]
Generated description
VST is the station code for Voorschoten railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VST Target entity description: VST is the station code for Voorschoten railway station in the Netherlands.
-
A.
VST
VST is a wide-field optical survey telescope at the European Southern Observatory’s Paranal Observatory, designed primarily for large-scale imaging of the night sky.
-
B.
VST
VST is the stock ticker symbol for Vistra Corp, a U.S.-based integrated retail and power generation company.
-
C.
Steinberg
Steinberg is a German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as music, art, business, and politics.
-
D.
Steinberg
Steinberg is a locality within the town of Wadern in the Saarland region of Germany.
-
E.
Steinberg
Steinberg is a small settlement in Norway situated along the Drammenselva river, known for its riverside location and local railway station.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6227c288819081473ce44f9f0934 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2813e55881909bdbc6f3c6ef572b |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2b0956948190bf654403ad0b154a |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2df66aa48190ae18a4ca1c099c25 |
completed | May 8, 2026, 12:27 a.m. |
Created at: April 10, 2026, 1:06 a.m.