Triple
T12599318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peak XV |
E300813
|
entity |
| Predicate | surveyDesignationUsedBy |
P70371
|
FINISHED |
| Object | British surveyors in India |
—
|
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: British surveyors in India | Statement: [Peak XV, surveyDesignationUsedBy, British surveyors in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surveyDesignationUsedBy Context triple: [Peak XV, surveyDesignationUsedBy, British surveyors in India]
-
A.
usesSurveyPoint
Indicates that an entity relies on or references a specific survey point as a positional or measurement basis in its activity or relationship.
-
B.
usesServiceDesignation
Indicates that one entity adopts or applies a particular service designation associated with another entity or offering.
-
C.
designationUsedFor
Indicates that a particular name, label, or title is employed to refer to or identify a specific entity or role.
-
D.
exampleDesignation
Indicates that one entity is identified or labeled as a representative or illustrative instance of another entity.
-
E.
associatedDesignation
chosen
Indicates that one entity is linked to or identified by a particular designation, title, or label connected with it.
- 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_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. |
Created at: April 9, 2026, 5:09 p.m.