Triple
T11017264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 10206 |
E260394
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ISO/IEC 10206 |
E260394
|
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 10206 | Statement: [ISO 10206, hasAbbreviation, ISO/IEC 10206]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO/IEC 10206 Context triple: [ISO 10206, hasAbbreviation, ISO/IEC 10206]
-
A.
ISO 10206
chosen
ISO 10206 is an international standard that defines the Extended Pascal programming language, specifying enhancements and extensions to the original Pascal language.
-
B.
ISO 10006
ISO 10006 is an international standard that provides guidelines for quality management in project-based organizations and project processes.
-
C.
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.
-
D.
ISO/IEC 25012
ISO/IEC 25012 is an international standard that defines a general data quality model, specifying characteristics and measures for assessing the quality of data in information systems.
-
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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a682908190b061d1995e2866b6 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374d371ec8190aba9e77346c6e876 |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.