Triple
T15197998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To'abaita people |
E363187
|
entity |
| Predicate | navigationSkills |
P94166
|
FINISHED |
| Object | local seafaring knowledge |
—
|
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: local seafaring knowledge | Statement: [To'abaita people, navigationSkills, local seafaring knowledge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: navigationSkills Context triple: [To'abaita people, navigationSkills, local seafaring knowledge]
-
A.
navigationKnowledge
chosen
Indicates that an entity possesses information or understanding related to navigating or determining routes within an environment or system.
-
B.
navigationProblemAddressed
Indicates that a navigation-related issue, obstacle, or challenge has been identified and dealt with or resolved.
-
C.
navigation
Indicates the act or process of determining and following a path or route from one location or state to another.
-
D.
navigationImprovementFor
Indicates an action or change that enhances or optimizes the navigation capabilities or experience for a specified target.
-
E.
airNavigationServiceProvider
Indicates that one entity serves as an air navigation service provider responsible for managing and supporting air traffic operations for another entity or within a defined airspace.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:10 a.m.