Triple
T11224536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England 4000-footers |
E265660
|
entity |
| Predicate | hasPeakCountInVermont |
P40303
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [New England 4000-footers, hasPeakCountInVermont, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakCountInVermont Context triple: [New England 4000-footers, hasPeakCountInVermont, 5]
-
A.
hasPopulationRankInVermont
Indicates the relative ranking of an entity’s population size compared specifically to other entities within the state of Vermont.
-
B.
summitCount
Indicates the number of summits or peak ascents associated with an entity.
-
C.
hasHighestPeaksOver
Indicates that one entity possesses mountain peaks that are higher in elevation than those of another entity.
-
D.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
E.
hasSummitCountApprox
chosen
Indicates that an entity is associated with an approximate number of summits or peak ascents.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ee15d4819087449058addef597 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.