Triple
T7777843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSSL |
E221438
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NSSL |
E221438
|
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: NSSL | Statement: [NSSL, abbreviation, NSSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSSL Context triple: [NSSL, abbreviation, NSSL]
-
A.
NSSL
chosen
NSSL is a U.S. federal research laboratory that studies severe weather such as thunderstorms, tornadoes, and flash floods to improve forecasting and warning systems.
-
B.
NWS
NWS is the stock ticker symbol for News Corporation, a global media and publishing company.
-
C.
NWS
NWS is the ICAO airline designator assigned to Nordwind Airlines, a Russian leisure and charter carrier.
-
D.
NSSC
NSSC is the commonly used abbreviation for the U.S. Army’s Natick Soldier Systems Center, a research and development facility focused on improving soldier equipment, food, and survival systems.
-
E.
NASAA
NASAA is a U.S.-based association of state, provincial, and territorial securities regulators in North America that works to protect investors and promote fair securities markets.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d4480481909d3e8a4df1345299 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf59dfe5c8190972eb9db1b3ca043 |
completed | March 30, 2026, 10:13 p.m. |
Created at: March 30, 2026, 4:16 p.m.