Triple
T1096423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XML Namespaces |
E24280
|
entity |
| Predicate | conflictResolvedBy |
P23081
|
FINISHED |
| Object | using different namespace URIs |
—
|
LITERAL 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: using different namespace URIs | Statement: [XML Namespaces, conflictResolvedBy, using different namespace URIs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictResolvedBy Context triple: [XML Namespaces, conflictResolvedBy, using different namespace URIs]
-
A.
conflictResult
Indicates the outcome or consequence that arises from a particular conflict between entities.
-
B.
endedConflict
Indicates that a previously ongoing conflict between entities has been brought to an end.
-
C.
conflictSpecific
Indicates a specific, concrete instance or type of conflict that exists between the related entities.
-
D.
supportedConflict
Indicates that one party provided assistance, resources, or endorsement to a side involved in a conflict or dispute.
-
E.
resolvedIn
Indicates that an issue, conflict, or process is brought to a conclusion or solution within a specified context, medium, or timeframe.
- F. None of above. chosen
Provenance (4 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.