Triple
T4271254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otero County, New Mexico |
E96944
|
entity |
| Predicate | containsDuneField |
P10619
|
FINISHED |
| Object | gypsum sand dunes of White Sands |
—
|
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: gypsum sand dunes of White Sands | Statement: [Otero County, New Mexico, containsDuneField, gypsum sand dunes of White Sands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsDuneField Context triple: [Otero County, New Mexico, containsDuneField, gypsum sand dunes of White Sands]
-
A.
hasDuneType
Indicates that one entity is characterized by or associated with a specific type or classification of dune.
-
B.
hasDunes
chosen
Indicates that one entity (typically a geographic area or surface) possesses or is characterized by sand dunes.
-
C.
hasFieldDivision
Indicates that one entity is organizationally divided into, or associated with, a specific field-based subdivision of another entity.
-
D.
fieldPresenceIn
Indicates that something exists or is located within a particular field, area, or domain.
-
E.
notableDune
Indicates that something is a particularly significant or well-known sand dune, distinguished from ordinary dunes by its prominence, uniqueness, or recognition.
- 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_69b34543f06c8190915ebb1a4574ffa9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ffb85a88190af000b94673bff59 |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.