Triple
T7379722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maluku peoples |
E170214
|
entity |
| Predicate | maritimeCulture |
P20564
|
FINISHED |
| Object | outrigger canoes |
—
|
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: outrigger canoes | Statement: [Maluku peoples, maritimeCulture, outrigger canoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritimeCulture Context triple: [Maluku peoples, maritimeCulture, outrigger canoes]
-
A.
hasMaritimeHeritage
chosen
Indicates that an entity possesses a historical, cultural, or traditional connection to maritime activities, seafaring, or the sea.
-
B.
maritimeDomain
Indicates a relationship or activity that occurs within, affects, or is specifically associated with the maritime domain (seas, oceans, and related maritime operations).
-
C.
maritimeUsage
Indicates the extent to which something is used for or involved in maritime activities, such as sea transport, navigation, or ocean-related operations.
-
D.
maritimeVariant
Indicates a version or form of something that is specifically adapted for or used in maritime (sea-related) contexts.
-
E.
maritimeActivity
Indicates activities, operations, or behaviors that take place at sea or are directly related to maritime environments and navigation.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c61484819087874d4e7f9fd791 |
completed | March 27, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:08 p.m.