Triple
T15493816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max-Weber-Platz U-Bahn station |
E378762
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
MWP
MWP is the station code for Max-Weber-Platz, a Munich U-Bahn interchange station serving multiple subway lines in the city’s public transport network.
|
E1161331
|
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: MWP | Statement: [Max-Weber-Platz U-Bahn station, hasStationCode, MWP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MWP Context triple: [Max-Weber-Platz U-Bahn station, hasStationCode, MWP]
-
A.
MW
MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
-
B.
MW
MW is the commonly used abbreviation for Metro Warszawskie, the company operating the Warsaw Metro system in Poland.
-
C.
MW
MW is the abbreviation for All-Polish Youth, a Polish nationalist youth organization known for its far-right, conservative activism.
-
D.
MW
MW is the vehicle registration code used on license plates for cars registered in the District of Mittelsachsen in Germany.
-
E.
MPS
MPS is the central government agency responsible for public security, policing, and domestic law enforcement in the People's Republic of China.
- 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: MWP Triple: [Max-Weber-Platz U-Bahn station, hasStationCode, MWP]
Generated description
MWP is the station code for Max-Weber-Platz, a Munich U-Bahn interchange station serving multiple subway lines in the city’s public transport network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MWP Target entity description: MWP is the station code for Max-Weber-Platz, a Munich U-Bahn interchange station serving multiple subway lines in the city’s public transport network.
-
A.
MW
MW is the two-letter ISO 3166-1 alpha-2 country code assigned to Malawi.
-
B.
MW
MW is the commonly used abbreviation for Metro Warszawskie, the company operating the Warsaw Metro system in Poland.
-
C.
MW
MW is the abbreviation for All-Polish Youth, a Polish nationalist youth organization known for its far-right, conservative activism.
-
D.
MW
MW is the vehicle registration code used on license plates for cars registered in the District of Mittelsachsen in Germany.
-
E.
MPS
MPS is the central government agency responsible for public security, policing, and domestic law enforcement in the People's Republic of China.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3660fc6c81908caf1729260a8338 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff373558c88190983792d12956886e |
completed | May 9, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff37c1b1e081909662b37eb5a2da1a |
completed | May 9, 2026, 1:33 p.m. |
Created at: April 10, 2026, 3:49 a.m.