Triple
T3901570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Cup of Hockey |
E90502
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | WCH |
E90502
|
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: WCH | Statement: [World Cup of Hockey, alsoKnownAs, WCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WCH Context triple: [World Cup of Hockey, alsoKnownAs, WCH]
-
A.
WCH
chosen
WCH is the abbreviation for the World Cup of Hockey, an international best-on-best ice hockey tournament featuring top national teams.
-
B.
WHC
WHC is the commonly used abbreviation for UNESCO’s World Heritage Centre, the body responsible for coordinating the World Heritage Convention and managing the World Heritage List.
-
C.
WUH
WUH is the IATA airport code for Wuhan Tianhe International Airport, the main air gateway serving Wuhan in central China.
-
D.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
E.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecf481648190b70b7acd9c1cf687 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5285093208190a2ba00afcbd8a261 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:21 p.m.