Triple
T2313494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 9899:1990 |
E51009
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | C90 |
E255504
|
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: C90 | Statement: [ISO/IEC 9899:1990, alsoKnownAs, C90]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C90 Context triple: [ISO/IEC 9899:1990, alsoKnownAs, C90]
-
A.
C90
chosen
C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
-
B.
C-9
C-9 is a mountain railway line of Madrid’s Cercanías commuter rail network that connects the city with the Sierra de Guadarrama, including the Puerto de Navacerrada and Cotos areas.
-
C.
M90
M90 is a major motorway in Scotland that connects Perth to the Forth Road Bridge, forming a key part of the route between the Scottish Highlands and Edinburgh.
-
D.
C-8
C-8 is a commuter rail line within the Cercanías Madrid network that connects central Madrid with various suburban areas.
-
E.
A92
A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61c1ef08190911d5f58c2e91189 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9610b420819095afb76347ddf9ee |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:49 p.m.