Triple
T29629694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/TC 215 |
E755538
|
entity |
| Predicate | standardSeriesDeveloped |
P56660
|
FINISHED |
| Object |
ISO 13606
ISO 13606 is an international standard for the electronic exchange of health record information, focusing on interoperable and semantically precise communication of clinical data.
|
E1877902
|
NE FINISHED |
How this triple was built (3 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 13606 | Statement: [ISO/TC 215, standardSeriesDeveloped, ISO 13606]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ISO 13606 Triple: [ISO/TC 215, standardSeriesDeveloped, ISO 13606]
Generated description
ISO 13606 is an international standard for the electronic exchange of health record information, focusing on interoperable and semantically precise communication of clinical data.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardSeriesDeveloped Context triple: [ISO/TC 215, standardSeriesDeveloped, ISO 13606]
-
A.
developedSeries
chosen
Indicates that one entity is responsible for creating or developing a particular series associated with the other entity.
-
B.
hasStandardSeries
Indicates that an entity is associated with, or belongs to, a designated standard series or standardized sequence.
-
C.
standardCreated
Indicates that an entity is responsible for the creation or establishment of a particular standard.
-
D.
developsStandardType
Indicates that an entity creates or establishes a particular type of standard.
-
E.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
- F. None of above.
Provenance (6 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26617516d481908c0798db507458cf |
completed | June 8, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a26658b86e88190b68b3a7d183a72e9 |
completed | June 8, 2026, 6:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a266c326a7081909d55ff20b5c3b851 |
completed | June 8, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 6:40 p.m.