Triple
T14887693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villingen-Schwenningen |
E359670
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | VS |
E84918
|
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: VS | Statement: [Villingen-Schwenningen, vehicleRegistrationCode, VS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VS Context triple: [Villingen-Schwenningen, vehicleRegistrationCode, VS]
-
A.
VS
chosen
VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
-
B.
VES
VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
-
C.
Vs.
Vs. is Pearl Jam's second studio album, a raw and powerful 1993 release known for its aggressive sound and socially charged lyrics.
-
D.
VRTX
VRTX is a real-time operating system (RTOS) historically used in embedded systems for applications requiring deterministic, low-latency performance.
-
E.
V
V is the masked, anarchist vigilante who leads a revolutionary uprising against a totalitarian regime in the graphic novel and film "V for Vendetta."
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f5b1c88190815f3585770cb135 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5f22c08190a9530cbd78cfc801 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:08 a.m.