Triple
T23312948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ebXML |
E590629
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object | ebXML Core Components |
—
|
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: ebXML Core Components | Statement: [ebXML, component, ebXML Core Components]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ebXML Core Components Context triple: [ebXML, component, ebXML Core Components]
-
A.
ebXML
chosen
ebXML (Electronic Business using eXtensible Markup Language) is a modular suite of open standards that enables secure, interoperable electronic business information exchange over the internet.
-
B.
AXB
AXB is the ICAO airline designator assigned to Air India Express, the Indian low-cost carrier.
-
C.
WS-* specifications
WS-* specifications are a family of interoperable web service standards that define protocols for security, reliability, transactions, and messaging in service-oriented architectures.
-
D.
ESB
ESB is a flagship premium bitter ale produced by Fuller’s Griffin Brewery in London, renowned for its rich, malty character and multiple award wins.
-
E.
ESB
ESB is the vehicle registration code used on license plates for the Neustadt an der Waldnaab district in Bavaria, Germany.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972ca70481909e2415c65964210a |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:06 p.m.