Triple
T7636376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDF/X |
E172888
|
entity |
| Predicate | standardNumber |
P4626
|
FINISHED |
| Object | ISO 15930 |
E660821
|
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 15930 | Statement: [PDF/X, standardNumber, ISO 15930]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISO 15930 Context triple: [PDF/X, standardNumber, ISO 15930]
-
A.
ISO 15930
chosen
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.
-
B.
ISO 10957
ISO 10957 is the international standard that defines the International Standard Music Number (ISMN) system used to uniquely identify printed music publications worldwide.
-
C.
ISO 3901
ISO 3901 is an international standard that defines the International Standard Recording Code (ISRC), a unique identifier for sound and music video recordings.
-
D.
ISO 15836
ISO 15836 is the international standard that formally defines the Dublin Core metadata element set for describing digital and physical resources.
-
E.
ISO 10383
ISO 10383 is an international standard that defines and maintains Market Identifier Codes (MICs) used to uniquely identify securities trading venues and related entities worldwide.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa95e488190962c23609e0890a5 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870c33ce081908df916d769fa84be |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:57 p.m.