Triple
T8930409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VOW |
E212637
|
entity |
| Predicate | hasRelatedTicker |
P45350
|
FINISHED |
| Object |
VWAPY
VWAPY is the American depositary receipt (ADR) representing shares of Volkswagen AG, the German multinational automotive manufacturer.
|
E766249
|
NE FINISHED |
How this triple was built (4 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: VWAPY | Statement: [VOW, hasRelatedTicker, VWAPY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VWAPY Context triple: [VOW, hasRelatedTicker, VWAPY]
-
A.
VWAG
VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
-
B.
VAN
VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
-
C.
VABP
VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
-
D.
VAR
VAR (Video Assistant Referee) is a football officiating system that uses video technology to help referees review and correct clear and obvious errors in key match situations.
-
E.
VAR
VAR is the three-letter IATA airport code assigned to Varna Airport in Varna, Bulgaria.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VWAPY Triple: [VOW, hasRelatedTicker, VWAPY]
Generated description
VWAPY is the American depositary receipt (ADR) representing shares of Volkswagen AG, the German multinational automotive manufacturer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VWAPY Target entity description: VWAPY is the American depositary receipt (ADR) representing shares of Volkswagen AG, the German multinational automotive manufacturer.
-
A.
VWAG
VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
-
B.
VAN
VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
-
C.
VABP
VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
-
D.
VAR
VAR (Video Assistant Referee) is a football officiating system that uses video technology to help referees review and correct clear and obvious errors in key match situations.
-
E.
VAR
VAR is the three-letter IATA airport code assigned to Varna Airport in Varna, Bulgaria.
- F. None of above. chosen
Provenance (5 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6676d5d881908ce78cbb5561a68b |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba63544081909394500f28b34ccb |
completed | April 3, 2026, 1:02 p.m. |
| NEDg | Description generation | batch_69cfbc685bf08190a716a28cc9bcd031 |
completed | April 3, 2026, 1:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbcc19ee081909e564040fea2ad9a |
completed | April 3, 2026, 1:12 p.m. |
Created at: March 30, 2026, 6:57 p.m.