Triple
T16747902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 15706 |
E407001
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | ISO 3901 |
E567105
|
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 3901 | Statement: [ISO 15706, relatedStandard, ISO 3901]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 3901 Context triple: [ISO 15706, relatedStandard, ISO 3901]
-
A.
ISO 3901
chosen
ISO 3901 is an international standard that defines the International Standard Recording Code (ISRC), a unique identifier for sound and music video recordings.
-
B.
ISO 3297
ISO 3297 is the international standard that defines the structure, assignment, and use of the International Standard Serial Number (ISSN) for identifying serial publications.
-
C.
ISO 15930
ISO 15930 is an international standard that defines the PDF/X family of specifications for reliable, press-ready digital file exchange in the graphic arts and printing industries.
-
D.
ISO 23950
ISO 23950 is an international standard that defines the Z39.50 client-server protocol for searching and retrieving information from remote databases in a networked environment.
-
E.
ISO 259-3
ISO 259-3 is a part of the ISO 259 standard that specifies a system for the transliteration of Hebrew characters into Latin script.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa2439848190a86a5bfc0702e2fe |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a522255c8190ab16d7ad233fcd3b |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.