Triple
T6402561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3GPP |
E144097
|
entity |
| Predicate | standardizes |
P1371
|
FINISHED |
| Object | SAE |
E453434
|
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: SAE | Statement: [3GPP, standardizes, SAE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAE Context triple: [3GPP, standardizes, SAE]
-
A.
SAE
SAE is the commonly used abbreviation for the Society for the Anthropology of Europe, a scholarly organization focused on the anthropological study of European societies and cultures.
-
B.
SAE
chosen
SAE (Simultaneous Authentication of Equals) is a secure password-based authentication and key exchange protocol used in modern Wi‑Fi networks, notably as the basis for WPA3’s improved handshake mechanism.
-
C.
SAE International
SAE International is a global professional association and standards organization that develops engineering standards and fosters collaboration in the aerospace, automotive, and commercial-vehicle industries.
-
D.
SAA
SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
-
E.
SAA
The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068ade8c881908a0472f1de6b7c21 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638a6e6248190bda7ad3fbd8f4746 |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.