Triple
T10157854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XMPP Standards Foundation |
E233816
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
XSF
XSF is the nonprofit organization that develops and maintains the open XMPP communication protocols used for instant messaging and real-time communication.
|
E845087
|
NE FINISHED |
How this triple was built (4 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: XSF | Statement: [XMPP Standards Foundation, abbreviation, XSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XSF Context triple: [XMPP Standards Foundation, abbreviation, XSF]
-
A.
XSC
XSC is the IATA airport code for South Caicos Airport in the Turks and Caicos Islands.
-
B.
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.
-
C.
XAF
XAF is the currency code for the Central African CFA franc, a regional currency used by several Central African countries.
-
D.
XPF
XPF is the CFP franc, a currency used in several French overseas collectivities in the Pacific, including French Polynesia.
-
E.
XFS
XFS is a high-performance 64-bit journaling file system originally developed by SGI, widely used on Linux for handling large files and parallel I/O workloads.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: XSF Triple: [XMPP Standards Foundation, abbreviation, XSF]
Generated description
XSF is the nonprofit organization that develops and maintains the open XMPP communication protocols used for instant messaging and real-time communication.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XSF Target entity description: XSF is the nonprofit organization that develops and maintains the open XMPP communication protocols used for instant messaging and real-time communication.
-
A.
XSC
XSC is the IATA airport code for South Caicos Airport in the Turks and Caicos Islands.
-
B.
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.
-
C.
XAF
XAF is the currency code for the Central African CFA franc, a regional currency used by several Central African countries.
-
D.
XPF
XPF is the CFP franc, a currency used in several French overseas collectivities in the Pacific, including French Polynesia.
-
E.
XFS
XFS is a high-performance 64-bit journaling file system originally developed by SGI, widely used on Linux for handling large files and parallel I/O workloads.
- F. None of above. chosen
Provenance (5 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5507f08190b47f797bacd5640c |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300acae608190891d8f55c3d5102b |
completed | April 6, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d302537a548190b211727dd124cba6 |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3033245448190bcc802b7dbd274fc |
completed | April 6, 2026, 12:49 a.m. |
Created at: March 30, 2026, 9:09 p.m.