Triple
T4657796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballhausplatz |
E102450
|
entity |
| Predicate | hasPoliticalColloquialName |
P58252
|
FINISHED |
| Object | metonym for the Austrian Federal Chancellery |
—
|
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: metonym for the Austrian Federal Chancellery | Statement: [Ballhausplatz, hasPoliticalColloquialName, metonym for the Austrian Federal Chancellery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalColloquialName Context triple: [Ballhausplatz, hasPoliticalColloquialName, metonym for the Austrian Federal Chancellery]
-
A.
hasDemonym
Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
-
B.
hasRegionalName
Indicates that an entity is known by a specific name or designation within a particular region or locality.
-
C.
hasColonialName
Indicates that an entity is known by, or has been assigned, a name originating from a colonial power or colonial period.
-
D.
regionallyKnownAs
Indicates that an entity is known by a particular name or designation within a specific geographic region.
-
E.
hasExonym
Indicates that one entity is known by an alternative name or designation in another language or cultural context.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd631a855c81909773737fd238a14d |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:15 p.m.