Triple
T84723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pella, Iowa |
E1704
|
entity |
| Predicate | festivalTheme |
P261
|
FINISHED |
| Object | tulips |
—
|
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: tulips | Statement: [Pella, Iowa, festivalTheme, tulips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: festivalTheme Context triple: [Pella, Iowa, festivalTheme, tulips]
-
A.
theme
chosen
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
B.
hasFestival
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
C.
feast
Indicates that an entity participates in or hosts a large, elaborate meal or celebration involving abundant food and communal dining.
-
D.
displayOccasion
Indicates the event, context, or situation during which something is presented, shown, or made visible.
-
E.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
- F. None of above.
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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a250e401288190ba12322c9c5f07c9 |
completed | Feb. 28, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69a24eb59e808190811c20518f39b1cc |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.