Triple
T8993709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIM (Network Installation Manager) |
E214848
|
entity |
| Predicate | usesProtocol |
P203
|
FINISHED |
| Object | NFS |
E37337
|
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: NFS | Statement: [NIM (Network Installation Manager), usesProtocol, NFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFS Context triple: [NIM (Network Installation Manager), usesProtocol, NFS]
-
A.
NFS
chosen
NFS (Network File System) is a distributed file system protocol that allows users to access files over a network as if they were on local storage.
-
B.
XNAS
XNAS is the market identifier code for the NASDAQ Stock Market, a major U.S.-based electronic securities exchange.
-
C.
NAS
NAS is the stock ticker symbol for Norwegian Air Shuttle, a major low-cost airline based in Norway.
-
D.
NAS
NAS is the commonly used abbreviation for Canada’s National Airports System, which comprises the country’s major airports of national significance.
-
E.
NAS
NAS is a private, nonprofit society of distinguished scholars in the United States that advises the nation on matters related to science and technology.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687798a881908e6fdd9a39219f1d |
completed | April 1, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0cd2b948190947a26fe11ad81bf |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:04 p.m.