Triple
T17674714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 25436 |
E440616
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ISO/IEC 25436 |
E440616
|
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: ISO/IEC 25436 | Statement: [ISO/IEC 25436, hasAbbreviation, ISO/IEC 25436]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO/IEC 25436 Context triple: [ISO/IEC 25436, hasAbbreviation, ISO/IEC 25436]
-
A.
ISO/IEC 25436
chosen
ISO/IEC 25436 is the international standard that formally defines the Eiffel programming language.
-
B.
ISO/IEC 23273
ISO/IEC 23273 is an international standard that specifies safety requirements for hydrogen-fueled road vehicles, particularly focusing on fuel cell vehicle safety.
-
C.
ISO/IEC 15435
ISO/IEC 15435 is an international standard developed by ISO/IEC for character encoding in information technology, particularly addressing specific coded character sets and their use in data interchange.
-
D.
ISO/IEC 14651
ISO/IEC 14651 is an international standard that defines a universal method for ordering and comparing text strings (collation) across different languages and scripts.
-
E.
ISO/IEC 14652
ISO/IEC 14652 is an international standard that defines guidelines and formats for locale data, including cultural conventions such as date, time, number, and currency representations in computing systems.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6ba22081909e2099490c047378 |
completed | April 19, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a022323e2c08190b8a86b865a14dbbe |
completed | May 11, 2026, 6:42 p.m. |
Created at: April 10, 2026, 10 a.m.