Triple
T1096400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XML Namespaces |
E24280
|
entity |
| Predicate | localNameDefinition |
P23078
|
FINISHED |
| Object | part of a qualified name after the colon |
—
|
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: part of a qualified name after the colon | Statement: [XML Namespaces, localNameDefinition, part of a qualified name after the colon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localNameDefinition Context triple: [XML Namespaces, localNameDefinition, part of a qualified name after the colon]
-
A.
hasLocalName
Indicates that an entity is known by a specific name or designation within a particular local language, script, or regional context.
-
B.
hasNoWidelyUsedLocalName
Indicates that the entity does not have a commonly used or widely recognized name in the local language or region.
-
C.
localNickname
Indicates that an entity is known by a particular nickname within a specific local or regional context.
-
D.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
-
E.
commonNameOf
Indicates that one entity is the commonly used or popular name by which the other entity is known.
- 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.