Triple
T15955847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzlandkreis |
E386930
|
entity |
| Predicate | hasLicensePlateCode |
P68833
|
FINISHED |
| Object |
SFT
SFT is the vehicle registration code used for the Salzlandkreis district in the German state of Saxony-Anhalt.
|
E1185890
|
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: SFT | Statement: [Salzlandkreis, hasLicensePlateCode, SFT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFT Context triple: [Salzlandkreis, hasLicensePlateCode, SFT]
-
A.
SFT
SFT is an international, student-led activist organization that campaigns for Tibetan independence and human rights in Tibet.
-
B.
SHT
SHT is the National Rail station code for Shotton railway station in Flintshire, Wales.
-
C.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
-
D.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
E.
SIF
SIF is a Canadian federal funding program that supports large-scale, transformative business and innovation projects to drive economic growth and competitiveness.
- 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: SFT Triple: [Salzlandkreis, hasLicensePlateCode, SFT]
Generated description
SFT is the vehicle registration code used for the Salzlandkreis district in the German state of Saxony-Anhalt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFT Target entity description: SFT is the vehicle registration code used for the Salzlandkreis district in the German state of Saxony-Anhalt.
-
A.
SFT
SFT is an international, student-led activist organization that campaigns for Tibetan independence and human rights in Tibet.
-
B.
SHT
SHT is the National Rail station code for Shotton railway station in Flintshire, Wales.
-
C.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
-
D.
SIF
SIF is the governing body for ice hockey in Sweden, overseeing the national teams and domestic competitions.
-
E.
SIF
SIF is the Swiss federal body responsible for shaping and coordinating Switzerland’s international financial, tax, and monetary policy.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fb29848190a55cabb49cb19575 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3e80b08190899262a9d03c0e93 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfc0d1548190b7d2e9e10e837f0b |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.