Triple
T9728893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DECsystem-10 |
E235686
|
entity |
| Predicate | operatingSystem |
P1593
|
FINISHED |
| Object | TENEX |
E431123
|
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: TENEX | Statement: [DECsystem-10, operatingSystem, TENEX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TENEX Context triple: [DECsystem-10, operatingSystem, TENEX]
-
A.
TENEX operating system
chosen
TENEX operating system is an early time-sharing operating system for the PDP-10 that introduced advanced virtual memory and interactive computing features influential in later systems.
-
B.
Ten Ten
"Ten Ten" is a popular Nigerian Afrobeats song performed by the Mo' Hits All Stars collective.
-
C.
TX-10
TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
-
D.
Tenix Defence
Tenix Defence was a major Australian defence contractor known for constructing naval vessels and providing maritime and military engineering services.
-
E.
Teldec
Teldec was a prominent German classical music record label known for its high-quality recordings and influential catalog of orchestral and early music.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eafa3a88190bc62924d94b89cd8 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fb5f5bc8190ae53bc5c165b5ac7 |
completed | April 4, 2026, 11:33 p.m. |
Created at: March 30, 2026, 8:21 p.m.