Triple
T5767788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XML technology stack |
E127255
|
entity |
| Predicate | includesStandard |
P19701
|
FINISHED |
| Object | XLink |
E242857
|
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: XLink | Statement: [XML technology stack, includesStandard, XLink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XLink Context triple: [XML technology stack, includesStandard, XLink]
-
A.
XLink
chosen
XLink is an XML standard that extends basic linking capabilities by enabling rich, multidirectional, and metadata-enhanced hyperlinks between resources.
-
B.
l’X
l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
-
C.
Q-LINK
Q-LINK is the radio callsign used by QantasLink, the regional airline brand of Qantas Airways in Australia.
-
D.
The Link
The Link is a key University College Birmingham facility that provides modern teaching, learning, and student support spaces.
-
E.
HXL
HXL (Humanitarian Exchange Language) is a lightweight data standard designed to improve the interoperability, quality, and rapid sharing of humanitarian data across organizations and crises.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029731adc8190888adc8178a08e90 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e5d8c8c819081067de808ac1b56 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.