Triple
T9655678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinnacles Overlook |
E233443
|
entity |
| Predicate | parkDesignation |
P89445
|
FINISHED |
| Object | within a U.S. national park |
—
|
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: within a U.S. national park | Statement: [Pinnacles Overlook, parkDesignation, within a U.S. national park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkDesignation Context triple: [Pinnacles Overlook, parkDesignation, within a U.S. national park]
-
A.
earthDesignation
Indicates that an entity has a specific name or label assigned to it for use in an Earth-based or human-centric context.
-
B.
mapDesignation
Indicates a formal label or identifier that is assigned to something specifically for use on a map.
-
C.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
D.
countyParkOrArea
Indicates that a location is designated as a county-level park or recreational area under the jurisdiction of a county authority.
-
E.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdbdd948190a4545a5df0f7af77 |
completed | April 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:13 p.m.