Triple
T17626559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U-Bahn station Krumme Lanke |
E429858
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KL
KL is the station code used to identify the Berlin U-Bahn station Krumme Lanke.
|
E1279261
|
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: KL | Statement: [U-Bahn station Krumme Lanke, hasStationCode, KL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KL Context triple: [U-Bahn station Krumme Lanke, hasStationCode, KL]
-
A.
KL
KL is the squadron code historically used to identify No. 54 Squadron of the Royal Air Force on its aircraft and operational records.
-
B.
KL
KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
-
C.
KL
KL is the official vehicle registration code assigned to the Indian state of Kerala.
-
D.
KL
KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
-
E.
LK
LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
- 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: KL Triple: [U-Bahn station Krumme Lanke, hasStationCode, KL]
Generated description
KL is the station code used to identify the Berlin U-Bahn station Krumme Lanke.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KL Target entity description: KL is the station code used to identify the Berlin U-Bahn station Krumme Lanke.
-
A.
KL
KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
-
B.
KL
KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
-
C.
KL
KL is the official vehicle registration code assigned to the Indian state of Kerala.
-
D.
KL
KL is the squadron code historically used to identify No. 54 Squadron of the Royal Air Force on its aircraft and operational records.
-
E.
LK
LK is the two-letter ISO 3166-1 alpha-2 country code assigned to Sri Lanka for international standardization and identification purposes.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbd122c8190a5db8c0088c81034 |
completed | April 19, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020a991e6881909ce905419e645a6a |
completed | May 11, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_6a020c10d1bc81909b0f04337df36be8 |
completed | May 11, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a020cefce4c8190a92f543533e4b801 |
completed | May 11, 2026, 5:08 p.m. |
Created at: April 10, 2026, 5:52 a.m.