Triple
T3057080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesa Verde National Park |
E60506
|
entity |
| Predicate | numberOfArchaeologicalSites |
P44822
|
FINISHED |
| Object | over 4,000 |
—
|
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: over 4,000 | Statement: [Mesa Verde National Park, numberOfArchaeologicalSites, over 4,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfArchaeologicalSites Context triple: [Mesa Verde National Park, numberOfArchaeologicalSites, over 4,000]
-
A.
highestArchaeologicalSite
Indicates that one archaeological site has the greatest elevation or altitude relative to other archaeological sites within a given context or area.
-
B.
numberOfRockArtSites
Indicates the count of rock art sites associated with a given subject or context.
-
C.
cultSite
Indicates a location that is or was used for religious or ritual worship activities.
-
D.
notableArchaeologicalSite
Indicates that a place is recognized as an archaeologically significant site, typically due to important historical remains, artifacts, or research findings.
-
E.
hasArchaeologicalSiteType
Indicates that an entity is classified as, or associated with, a specific type or category of archaeological site.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e13f16c81909e11ed1444c71151 |
completed | March 8, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.