Triple
T22499075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACME v2 |
E556219
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | SSL |
—
|
NE NERFINISHED |
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: SSL | Statement: [ACME v2, relatedTo, SSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSL Context triple: [ACME v2, relatedTo, SSL]
-
A.
SSL
chosen
SSL (Secure Sockets Layer) is a cryptographic protocol designed to provide secure, encrypted communication over a computer network, commonly used to protect data transmitted between clients and servers.
-
B.
SSL
SSL is a satellite manufacturing company known for building commercial communications and Earth observation spacecraft.
-
C.
SSL
SSL is the stock ticker symbol for Sasol Limited, a South African integrated energy and chemical company listed on major exchanges such as the NYSE and JSE.
-
D.
SSL/TLS
SSL/TLS is a widely used cryptographic protocol suite that provides secure, encrypted communication over computer networks, most notably for web traffic.
-
E.
TLS
TLS is the IATA airport code for Toulouse-Blagnac Airport, the main international airport serving Toulouse in southwestern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb3deb88190874230ae06a352d6 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.