Triple
T9164255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weißenfels district |
E219906
|
entity |
| Predicate | usedVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | WSF |
E189702
|
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: WSF | Statement: [Weißenfels district, usedVehicleRegistrationCode, WSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WSF Context triple: [Weißenfels district, usedVehicleRegistrationCode, WSF]
-
A.
WSF
chosen
WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
-
B.
WSF
WSF is the commonly used abbreviation for Washington State Ferries, the largest ferry system in the United States serving routes across Puget Sound and nearby waterways.
-
C.
WSF 2011
WSF 2011 was an edition of the World Social Forum, a global gathering of social movements, NGOs, and activists focused on discussing and promoting alternatives to neoliberal globalization.
-
D.
WSM
WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
-
E.
WBF
WBF is the German abbreviation for Switzerland’s Federal Department of Economic Affairs, Education and Research, the federal ministry responsible for national economic policy, education, research, and innovation.
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2ee64c8190a9a5abafe5d0b086 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0547df750819095853f21cf740c63 |
completed | April 3, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:21 p.m.