Triple
T488798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Mead National Recreation Area |
E9939
|
entity |
| Predicate | establishedAsNationalRecreationArea |
P856
|
FINISHED |
| Object | October 8, 1964 |
—
|
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: October 8, 1964 | Statement: [Lake Mead National Recreation Area, establishedAsNationalRecreationArea, October 8, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedAsNationalRecreationArea Context triple: [Lake Mead National Recreation Area, establishedAsNationalRecreationArea, October 8, 1964]
-
A.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
-
B.
hasNationalSeashore
Indicates that a place or region is designated and managed as a national seashore.
-
C.
nationalMonument
Indicates that something has been officially designated as a national monument by a country or governing authority.
-
D.
hasNationalForest
Indicates that a place or jurisdiction contains, includes, or is home to at least one designated national forest.
-
E.
protectedAreaEstablished
chosen
Indicates that a designated protected area has been formally created or brought into legal existence.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0df764481909811d9483dfbc4aa |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf63fbc819090ea6ca11f39116a |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.