Triple
T24243375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moses Gate Country Park |
E603292
|
entity |
| Predicate | openedAsCountryPark |
P155317
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Moses Gate Country Park, openedAsCountryPark, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedAsCountryPark Context triple: [Moses Gate Country Park, openedAsCountryPark, 1970s]
-
A.
openedAsNationalPark
Indicates that a location or area was officially designated and inaugurated as a national park at a specific time.
-
B.
openedInPark
Indicates that an entity was opened, inaugurated, or began operating within the boundaries of a park.
-
C.
openedAsStatePark
Indicates that a location or area was officially inaugurated and made available to the public as a state park.
-
D.
hasCountryPark
Indicates that a place or administrative area contains or is associated with a designated country park.
-
E.
openedAsStateHistoricPark
Indicates that an entity was officially opened or designated as a state historic park.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28aa1309c8190b9bc33bc6598b0fc |
completed | April 29, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:03 a.m.