Triple
T17520364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZeroMQ |
E426665
|
entity |
| Predicate | supportsProgrammingLanguage |
P1592
|
FINISHED |
| Object | Haskell |
—
|
NE NERFINISHED |
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: Haskell | Statement: [ZeroMQ, supportsProgrammingLanguage, Haskell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haskell Context triple: [ZeroMQ, supportsProgrammingLanguage, Haskell]
-
A.
Haskell
chosen
Haskell is a statically typed, purely functional programming language known for its strong type system, lazy evaluation, and use in both academic research and industry.
-
B.
Haskell
Haskell is a small town in Muskogee County, Oklahoma, known for its rural character and local community life.
-
C.
GHC
GHC (Glasgow Haskell Compiler) is the most widely used, feature-rich, and optimizing compiler for the Haskell programming language.
-
D.
GHC
GHC is the stock ticker symbol for Graham Holdings Company, a diversified American conglomerate with interests in education, media, and other businesses.
-
E.
GHC
GHC is a leading international membership organization that advocates for improved global health policies and supports collaboration among health professionals, NGOs, and other stakeholders worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d23cf08190925510344fa36f57 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.