Triple
T10330469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 10179 |
E242858
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | ISO 8879 |
E8666
|
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 8879 | Statement: [ISO/IEC 10179, relatedTo, ISO 8879]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 8879 Context triple: [ISO/IEC 10179, relatedTo, ISO 8879]
-
A.
SGML
chosen
SGML (Standard Generalized Markup Language) is a standardized metalanguage for defining markup languages used to structure and describe the content of electronic documents.
-
B.
ECMA-119
ECMA-119 is an ECMA standard that defines the file system format for CD-ROMs, serving as the basis for the ISO 9660 standard.
-
C.
ISO/IEC 8859
ISO/IEC 8859 is a family of 8-bit character encoding standards that define various single-byte coded character sets for different languages and scripts, widely used before the adoption of Unicode.
-
D.
ISO/IEC 10646
ISO/IEC 10646 is an international standard that defines the Universal Coded Character Set (UCS), a comprehensive repertoire of characters used worldwide and closely aligned with the Unicode Standard.
-
E.
ISO/IEC 2022
ISO/IEC 2022 is an international standard that defines mechanisms for encoding and switching between multiple character sets within a single byte-oriented data stream.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7fb77348190ac8ff887f6f03450 |
completed | April 7, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7504679ec8190926d2c5016653cea |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:52 a.m.