Triple
T27968678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Avenue |
E704794
|
entity |
| Predicate | parkEntranceLeadsTo |
P163578
|
FINISHED |
| Object | Gardens of Imagination |
—
|
NE NERFINISHED |
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: Gardens of Imagination | Statement: [Mickey Avenue, parkEntranceLeadsTo, Gardens of Imagination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkEntranceLeadsTo Context triple: [Mickey Avenue, parkEntranceLeadsTo, Gardens of Imagination]
-
A.
parkEntranceArea
Indicates the area that serves as an entrance or access point to a park.
-
B.
parkEntranceStation
Indicates that a location functions as an entrance station or access point for a park.
-
C.
parkSection
Indicates a relationship where a specific area or subsection belongs to, is contained within, or is designated as part of a larger park.
-
D.
parkSectionOpeningWith
Indicates that a section of a park begins or is introduced with a specified feature, structure, or element.
-
E.
parkSystem
Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b3337748190ae03ce1742a31d22 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 7:36 p.m.