Triple
T31754228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreamfinder |
E810512
|
entity |
| Predicate | associatedParkArea |
P30832
|
FINISHED |
| Object | Imagination Pavilion |
E231049
|
NE 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: Imagination Pavilion | Statement: [Dreamfinder, associatedParkArea, Imagination Pavilion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedParkArea Context triple: [Dreamfinder, associatedParkArea, Imagination Pavilion]
-
A.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
-
B.
regionOfPark
Indicates that one entity is a geographic or administrative region that contains or is designated as a specific park.
-
C.
hasParkArea
chosen
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
-
D.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
E.
associatedWithPark
Indicates a relationship in which an entity is connected or linked in some relevant way to a particular park.
- F. None of above.
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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2d9d4c33c08190bcd8fb7fc7ce6fe4 |
completed | June 13, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:29 p.m.