Triple
T22025443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mt. Guyot |
E543948
|
entity |
| Predicate | summitCharacteristics |
P146309
|
FINISHED |
| Object | heavily forested summit |
—
|
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: heavily forested summit | Statement: [Mt. Guyot, summitCharacteristics, heavily forested summit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitCharacteristics Context triple: [Mt. Guyot, summitCharacteristics, heavily forested summit]
-
A.
summitShape
Indicates the geometric form or contour that characterizes the topmost point or summit of an object or landform.
-
B.
summitResembles
Indicates that one summit is similar in appearance or characteristics to another summit.
-
C.
summitAppearance
Indicates an entity’s participation in or presence at a summit event or high-level meeting.
-
D.
summitUsedBy
Indicates that a particular summit is utilized or accessed by a specified entity (such as a person, group, or organization).
-
E.
summitDepth
Indicates the vertical distance from a summit’s highest point down to a specified reference level, such as a base or surrounding terrain.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127cba61c8190a48ec2c1ee1315b0 |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:24 p.m.