Triple
T9136369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wise |
E219214
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | WISE |
E219214
|
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: WISE | Statement: [Wise, tickerSymbol, WISE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WISE Context triple: [Wise, tickerSymbol, WISE]
-
A.
WIT
WIT is the New York Stock Exchange ticker symbol for Wipro Limited, a major Indian multinational information technology services and consulting company.
-
B.
WIS
WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
-
C.
WIS
WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
-
D.
Wise
Wise is a surname shared by various notable individuals across fields such as entertainment, politics, and academia.
-
E.
Wise
chosen
Wise is a London-based financial technology company best known for its low-cost international money transfer and multi-currency account 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8df68108190bb2df0583c5ad481 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047fb3c148190b2e1a19d4f76b550 |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:18 p.m.