Triple
T8414536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac 68k bootloaders |
E198700
|
entity |
| Predicate | usedOnModelFamily |
P31538
|
FINISHED |
| Object | LC series |
E6174
|
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: LC series | Statement: [Mac 68k bootloaders, usedOnModelFamily, LC series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LC series Context triple: [Mac 68k bootloaders, usedOnModelFamily, LC series]
-
A.
LC series
chosen
The LC series is a line of low-cost, education-focused Macintosh desktop computers produced by Apple in the early 1990s.
-
B.
RLC
RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
-
C.
Series L
Series L is a set of ITU-T telecommunications standards focused on outside plant and related infrastructure for telecommunication networks.
-
D.
Série 4000
Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
-
E.
LRCL
LRCL is the ICAO airport code for Cluj International Airport in Cluj-Napoca, Romania.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd122af6481908fbe53fe30bdd135 |
completed | March 31, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce032a25ec819094c6346eb2a7f973 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.