Triple
T18106469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herb Kāne |
E433355
|
entity |
| Predicate | focusOfResearch |
P24329
|
FINISHED |
| Object | Polynesian voyaging routes |
—
|
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: Polynesian voyaging routes | Statement: [Herb Kāne, focusOfResearch, Polynesian voyaging routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusOfResearch Context triple: [Herb Kāne, focusOfResearch, Polynesian voyaging routes]
-
A.
researchTopic
chosen
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
B.
researchFocusSince
Indicates the point in time since which an entity has maintained a particular research focus or area of study.
-
C.
disciplinaryFocus
Indicates the primary academic or professional field, subject area, or discipline that something is centered on or concerned with.
-
D.
researchPriority
Indicates that one entity is designated as a subject or area of research that should receive prioritized attention or resources relative to others.
-
E.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddba6b288190af9a5d9c32d16e98 |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.