Triple
T4945869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum station |
E111047
|
entity |
| Predicate | hasCode |
P9567
|
FINISHED |
| Object | MUS |
E111047
|
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: MUS | Statement: [Museum station, hasCode, MUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MUS Context triple: [Museum station, hasCode, MUS]
-
A.
MUS
chosen
MUS is the standard abbreviation used to refer to Museum station, a public transit stop.
-
B.
MUS
MUS is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritius for international identification and data standards.
-
C.
Musiq
Musiq is the stage name of Musiq Soulchild, an American R&B and neo soul singer known for smooth, soulful hits like "Love" and "Just Friends (Sunny)."
-
D.
MV
MV is the vehicle registration code for the German federal state of Mecklenburg-Vorpommern.
-
E.
MUSE
MUSE is a prominent science museum in Trento, Italy, known for its interactive exhibits on nature, technology, and sustainability.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70aa890c81908e685ec5e88cae1f |
completed | March 20, 2026, 4:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81cc862081908b42686f04915238 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:31 p.m.