Triple
T32223261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amana Colonies, Iowa |
E823123
|
entity |
| Predicate | stateTourismDesignation |
P62013
|
FINISHED |
| Object | major Iowa tourist attraction |
—
|
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: major Iowa tourist attraction | Statement: [Amana Colonies, Iowa, stateTourismDesignation, major Iowa tourist attraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateTourismDesignation Context triple: [Amana Colonies, Iowa, stateTourismDesignation, major Iowa tourist attraction]
-
A.
touristDesignation
chosen
Indicates that a place or entity has been formally identified or labeled as a tourist attraction or destination.
-
B.
stateDesignation
Indicates that an entity has been formally assigned or recognized with a particular status, title, or classification by an official authority or governing body.
-
C.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an entity.
-
D.
earthDesignation
Indicates that an entity has a specific name or label assigned to it for use in an Earth-based or human-centric context.
-
E.
unescoDesignation
Indicates that an entity has been granted a specific designation or status by UNESCO.
- 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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 1, 2026, 12:38 a.m.