Triple
T17568205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ack |
E427870
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | ack 3.x |
—
|
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: ack 3.x | Statement: [ack, hasVersion, ack 3.x]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ack 3.x Context triple: [ack, hasVersion, ack 3.x]
-
A.
ack
chosen
ack is a command-line search tool for programmers that improves on grep with language-aware searching, sensible defaults, and features tailored for codebases.
-
B.
ACK
ACK is the three-letter IATA airport code for Nantucket Memorial Airport, which serves Nantucket Island in Massachusetts, USA.
-
C.
ACKTR
ACKTR (Actor-Critic using Kronecker-Factored Trust Region) is a reinforcement learning algorithm that combines actor-critic methods with efficient second-order optimization via Kronecker-factored approximations to improve training stability and sample efficiency.
-
D.
QPACK
QPACK is a header compression mechanism designed for HTTP/3 over QUIC, improving upon HPACK to better handle multiplexed streams without head-of-line blocking.
-
E.
RACK
RACK was the NASDAQ stock ticker symbol for Rackable Systems, a company that designed and manufactured server and storage products for data centers.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592e56e481909249b831cecc31d5 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.