Triple
T22197235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XPath 3.1 |
E548578
|
entity |
| Predicate | relatedStandard |
P37
|
FINISHED |
| Object | XDM 3.1 |
—
|
NE NERFINISHED |
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: XDM 3.1 | Statement: [XPath 3.1, relatedStandard, XDM 3.1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XDM 3.1 Context triple: [XPath 3.1, relatedStandard, XDM 3.1]
-
A.
XDM
XDM (XQuery and XPath Data Model) is the formal data model used by XQuery and XPath to represent and process XML and related data types in a standardized way.
-
B.
XFree86
XFree86 is an open-source implementation of the X Window System for Unix-like operating systems, historically used to provide graphical user interfaces on many Linux and BSD distributions.
-
C.
XDG
XDG is the IATA station code assigned to Halifax railway station in Nova Scotia, Canada.
-
D.
XDM (XQuery and XPath Data Model)
chosen
XDM (XQuery and XPath Data Model) is the formal, abstract data model that defines the types and structures of data processed by XQuery and XPath expressions.
-
E.
XDS
XDS (Cross-Enterprise Document Sharing) is an IHE IT Infrastructure profile that defines standards-based methods for registering, storing, and sharing clinical documents across healthcare enterprises.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae7c72081909b7817d66391bef4 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.