Triple
T9051434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Management Authority for Urban Railways |
E216890
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | MAUR |
E775483
|
NE FINISHED |
How this triple was built (2 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: MAUR | Statement: [Management Authority for Urban Railways, abbreviation, MAUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAUR Context triple: [Management Authority for Urban Railways, abbreviation, MAUR]
-
A.
MAUR
chosen
MAUR is the Management Authority for Urban Railways, a government body responsible for overseeing the development and operation of urban rail transit systems.
-
B.
Maur
Maur is a municipality in the canton of Zürich in Switzerland, located on the northeastern shore of Lake Greifen and known for its residential character and natural surroundings.
-
C.
MAU
MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
-
D.
MAU
MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
-
E.
Ma$e
Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdbd54848190ba79d873321f4fc9 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:10 p.m.