Triple
T11479061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aue (Sachs) station |
E272094
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object |
AUE
AUE is the station code for Aue (Sachs) railway station in Saxony, Germany.
|
E927694
|
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: AUE | Statement: [Aue (Sachs) station, railwayStationCode, AUE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AUE Context triple: [Aue (Sachs) station, railwayStationCode, AUE]
-
A.
AUL
AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
-
B.
AUL
AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
-
C.
AÜ
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
-
D.
AEE
AEE is the ICAO airline designator used to identify Aegean Airlines in international aviation operations and communications.
-
E.
AE
AE is the IATA airline designator assigned to Mandarin Airlines, a regional carrier based in Taiwan.
- 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: AUE Triple: [Aue (Sachs) station, railwayStationCode, AUE]
Generated description
AUE is the station code for Aue (Sachs) railway station in Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AUE Target entity description: AUE is the station code for Aue (Sachs) railway station in Saxony, Germany.
-
A.
AUL
AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
-
B.
AUL
AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
-
C.
AÜ
AÜ is the commonly used abbreviation for Ankara University, a major public research university in Turkey’s capital city.
-
D.
AEE
AEE is the ICAO airline designator used to identify Aegean Airlines in international aviation operations and communications.
-
E.
AE
AE is the IATA airline designator assigned to Mandarin Airlines, a regional carrier based in Taiwan.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294f0e948190b2e106beb86e4b2c |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e970743c8190a5be4d59d1b941d6 |
completed | April 20, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69e5f15b37c8819083d9275ceb7b3806 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f89dd4bc8190b0cccab8414a03aa |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:36 p.m.