Triple
T4062241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | News Corporation |
E86239
|
entity |
| Predicate | tradesUnderTicker |
P1447
|
FINISHED |
| Object | NWS |
E86238
|
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: NWS | Statement: [News Corporation, tradesUnderTicker, NWS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NWS Context triple: [News Corporation, tradesUnderTicker, NWS]
-
A.
NWS
NWS is the ICAO airline designator assigned to Nordwind Airlines, a Russian leisure and charter carrier.
-
B.
NWS
chosen
NWS is the stock ticker symbol for News Corporation, a global media and publishing company.
-
C.
NWP
NWP is an acronym for the National Woman's Party, a key American organization that fought for women's suffrage and equal rights in the early 20th century.
-
D.
NWM
NWM is the vehicle registration code for the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
-
E.
NSSL
NSSL is a U.S. federal research laboratory that studies severe weather such as thunderstorms, tornadoes, and flash floods to improve forecasting and warning systems.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd60cc081908764fcc8206bc1ef |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562ac25848190951431c9c853cc59 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.