Triple
T2383049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arches National Park |
E46354
|
entity |
| Predicate | numberOfNaturalArches |
P9131
|
FINISHED |
| Object | more than 2,000 |
—
|
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: more than 2,000 | Statement: [Arches National Park, numberOfNaturalArches, more than 2,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNaturalArches Context triple: [Arches National Park, numberOfNaturalArches, more than 2,000]
-
A.
hasNumberOfArches
chosen
Indicates the relationship specifying how many arches are present in or associated with a given entity.
-
B.
geologicalFormation
Indicates that one entity is a geological structure or feature that characterizes or composes the physical makeup of another entity.
-
C.
numberOfRockArtSites
Indicates the count of rock art sites associated with a given subject or context.
-
D.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
-
E.
numberOfIndividualGeoglyphsApprox
Indicates an approximate count of distinct individual geoglyphs associated with a given subject.
- 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7bafa248190a68e8f1e081f4817 |
completed | March 7, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69abc59f73f08190924a36d7d475d8f4 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.