Triple
T12599309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peak XV |
E300813
|
entity |
| Predicate | originalSurveyNameOf |
P105642
|
FINISHED |
| Object | world’s highest peak above sea level |
—
|
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: world’s highest peak above sea level | Statement: [Peak XV, originalSurveyNameOf, world’s highest peak above sea level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSurveyNameOf Context triple: [Peak XV, originalSurveyNameOf, world’s highest peak above sea level]
-
A.
surveyName
Indicates the specific name or title assigned to a survey in the context of the relationship.
-
B.
coSurveyedWith
Indicates that two or more entities participated together in the same survey activity or data-collection effort.
-
C.
associatedSurvey
Indicates a relationship where one entity is linked or connected to a specific survey, typically as the survey that applies to, evaluates, or is used in conjunction with that entity.
-
D.
surveyedFor
Indicates that one entity has been examined, questioned, or assessed in order to gather information specifically about another entity or topic.
-
E.
surveyMode
Indicates the method or format by which a survey is administered or conducted (e.g., online, phone, in-person).
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95590a5e08190842b988531cf2921 |
completed | April 10, 2026, 7:54 p.m. |
Created at: April 9, 2026, 5:09 p.m.