Triple
T4184921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sindbad |
E88286
|
entity |
| Predicate | operatorIATA |
P12360
|
FINISHED |
| Object | WY |
E232036
|
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: WY | Statement: [Sindbad, operatorIATA, WY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WY Context triple: [Sindbad, operatorIATA, WY]
-
A.
WY
WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
-
B.
WY
chosen
WY is the official two-letter United States Postal Service abbreviation for the state of Wyoming.
-
C.
YN
YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
-
D.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
E.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af032318bc81908345db0753f8ba66 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589fe4b508190a1c5a1d426245ede |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:45 p.m.