Triple
T13410935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hauptmarkt (Nuremberg) |
E320082
|
entity |
| Predicate | hasChristmasMarket |
P109804
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Hauptmarkt (Nuremberg), hasChristmasMarket, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChristmasMarket Context triple: [Hauptmarkt (Nuremberg), hasChristmasMarket, yes]
-
A.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
B.
isInMarketTown
Indicates that an entity is located within or belongs to a town that functions as a local commercial or trading center.
-
C.
hasHolidaySales
Indicates that an entity conducts or experiences sales or promotional events specifically associated with holidays.
-
D.
hasSeasonalDecorations
Indicates that an entity is adorned with decorations that are specific to a particular season or holiday period.
-
E.
hasMunicipalHoliday
Indicates that a particular place or jurisdiction observes a specific municipal holiday as part of its official local calendar.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:35 p.m.