Triple
T11832643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puʻu Konahuanui |
E281431
|
entity |
| Predicate | hasPeakCount |
P101726
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Puʻu Konahuanui, hasPeakCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakCount Context triple: [Puʻu Konahuanui, hasPeakCount, 2]
-
A.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
B.
hasPeakAround
Indicates that something exhibits a maximum value, intensity, or prominence in the vicinity of a specified point, range, or condition.
-
C.
hasPeakAssociated
Indicates that one entity is linked or related to a specific peak (such as a summit or maximum point) associated with it.
-
D.
hasPeakHourFunction
Indicates that something performs a specific role or behavior during peak hours of activity or usage.
-
E.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.