Triple
T7782645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saale-Holzland-Kreis |
E221559
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
EIS
EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
|
E693407
|
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: EIS | Statement: [Saale-Holzland-Kreis, vehicleRegistrationCode, EIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EIS Context triple: [Saale-Holzland-Kreis, vehicleRegistrationCode, EIS]
-
A.
EIS
EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
-
B.
EIS
EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
-
C.
EIT
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
-
D.
EIL
EIL is the IATA airport code for Eielson Air Force Base, a United States Air Force installation near Fairbanks, Alaska.
-
E.
ES-EX
ES-EX is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Extremadura within Spain.
- 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: EIS Triple: [Saale-Holzland-Kreis, vehicleRegistrationCode, EIS]
Generated description
EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EIS Target entity description: EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
-
A.
EIS
EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
-
B.
EIS
EIS is a comprehensive document required by environmental regulations that evaluates the potential environmental effects of proposed projects or actions before decisions are made.
-
C.
EIT
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
-
D.
EIL
EIL is the IATA airport code for Eielson Air Force Base, a United States Air Force installation near Fairbanks, Alaska.
-
E.
ES-EX
ES-EX is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Extremadura within Spain.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cadf1f9c648190ac2b06d0d54035ea |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5e400d881909d6cdeb7eaac3a59 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ebde881909bd131da8987b449 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa013f348190a2067dee4a0c8c40 |
completed | March 30, 2026, 10:32 p.m. |
Created at: March 30, 2026, 4:22 p.m.