Triple
T1903794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VWAG |
E37751
|
entity |
| Predicate | underlyingCompanyPrimaryListingTicker |
P33802
|
FINISHED |
| Object | VOW3 |
E212637
|
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: VOW3 | Statement: [VWAG, underlyingCompanyPrimaryListingTicker, VOW3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VOW3 Context triple: [VWAG, underlyingCompanyPrimaryListingTicker, VOW3]
-
A.
VOW
chosen
VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
-
B.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
C.
Vo
Vo is a Vietnamese surname most famously associated with General Vo Nguyen Giap, a key military leader in Vietnam's 20th-century history.
-
D.
VWAG
VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
-
E.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb7c376208190bbf28504f1aac881 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d0d01c8190ae0c8029fead4008 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.