Triple
T8211431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WED Enterprises |
E191824
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | WED |
E191824
|
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: WED | Statement: [WED Enterprises, alsoKnownAs, WED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WED Context triple: [WED Enterprises, alsoKnownAs, WED]
-
A.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
-
B.
WBD
WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
-
C.
WEM
WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
-
D.
WADD
WADD is the ICAO airport code for Ngurah Rai International Airport, the main airport serving Bali, Indonesia.
-
E.
WED Enterprises
chosen
WED Enterprises was Walt Disney’s original creative design and engineering company, best known as the forerunner to Walt Disney Imagineering and the force behind many early Disney theme park attractions.
- 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb76dec42c819090252fe186a68d34 |
completed | March 31, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccede2e4f481908edca856038772d3 |
completed | April 1, 2026, 10:05 a.m. |
Created at: March 30, 2026, 5:44 p.m.