Triple
T9696908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HPE StoreEasy |
E234676
|
entity |
| Predicate | supportsProtocol |
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: [HPE StoreEasy, supportsProtocol, NFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NFS Context triple: [HPE StoreEasy, supportsProtocol, 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 (Nuclei Antisofisticazioni e Sanità) is a specialized unit of the Italian Carabinieri responsible for protecting public health by combating food, pharmaceutical, and health-related fraud and violations.
-
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 the stock ticker symbol for Norwegian Air Shuttle, a major low-cost airline based in Norway.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3a88788190a4235a1ab33341ec |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19125d3cc819082b3736d1b4ba802 |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.