Triple
T1505878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haleakalā National Park |
E33899
|
entity |
| Predicate | separatedAsIndependentPark |
P29454
|
FINISHED |
| Object | 1961 |
—
|
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: 1961 | Statement: [Haleakalā National Park, separatedAsIndependentPark, 1961]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separatedAsIndependentPark Context triple: [Haleakalā National Park, separatedAsIndependentPark, 1961]
-
A.
hasParkDistrict
Indicates that an entity is associated with, located within, or administered by a specific park district.
-
B.
openedAsStateHistoricPark
Indicates that an entity was officially opened or designated as a state historic park.
-
C.
hasRegionalPark
Indicates that a place or administrative area contains or is served by a designated regional park.
-
D.
parkType
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
-
E.
hasParks
Indicates that one entity possesses, contains, or is associated with one or more parks.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90584b8b881908e112c7e59163812 |
completed | March 5, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69a88727ce48819089b482cdc25453d1 |
completed | March 4, 2026, 7:25 p.m. |
| PDg | Predicate description generation | batch_69a90582f2548190bc0a6bdcd6d9d015 |
completed | March 5, 2026, 4:24 a.m. |
Created at: March 4, 2026, 7:24 p.m.