Triple
T10358445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansfeld-Südharz |
E244064
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | MSH |
E282274
|
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: MSH | Statement: [Mansfeld-Südharz, vehicleRegistrationCode, MSH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSH Context triple: [Mansfeld-Südharz, vehicleRegistrationCode, MSH]
-
A.
MSH
chosen
MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
-
B.
MHS
MHS is the acronym for the U.S. Military Health System, the organization that provides healthcare services to active-duty service members, retirees, and their families.
-
C.
MSA
MSA is the standardized, literary form of Arabic used in formal writing, media, education, and official communication across the Arab world.
-
D.
MSA
MSA is a common abbreviation for a metropolitan statistical area, a region defined by the U.S. Office of Management and Budget for statistical and demographic analysis.
-
E.
MSA
MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b02ae48190898f9f97ab19ce60 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:59 a.m.