Triple
T3627334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Advanced Air and Space Studies |
E76869
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | SAASS |
E374466
|
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: SAASS | Statement: [School of Advanced Air and Space Studies, hasAbbreviation, SAASS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAASS Context triple: [School of Advanced Air and Space Studies, hasAbbreviation, SAASS]
-
A.
SAASS
chosen
SAASS is a U.S. Air Force graduate-level school that provides advanced professional military education focused on air, space, and cyber power strategy.
-
B.
SAA
SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
-
C.
SSA
SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
-
D.
SSA
SSA is the commonly used acronym for Mexico’s federal Secretariat of Health, the government ministry responsible for national public health policy and services.
-
E.
SSA
SSA is the U.S. federal agency responsible for administering Social Security programs, including retirement, disability, and survivors benefits.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2ddccc881909ae13dca3dd8a11d |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f12c2608190bd0eb25c9df97ec6 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.