Triple
T27061154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kedang people |
E685044
|
entity |
| Predicate | seaResourcesUse |
P90284
|
FINISHED |
| Object | nearshore fishing |
—
|
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: nearshore fishing | Statement: [Kedang people, seaResourcesUse, nearshore fishing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaResourcesUse Context triple: [Kedang people, seaResourcesUse, nearshore fishing]
-
A.
hasMarineResource
Indicates that one entity possesses, contains, or is associated with a marine (ocean or sea-based) resource in relation to another entity.
-
B.
usesNaturalResource
chosen
Indicates that an entity makes use of a natural resource (such as water, minerals, or forests) to support its activities, processes, or functions.
-
C.
naturalResources
Indicates that one entity possesses, contains, or is a source of natural resources for another entity.
-
D.
seaAreaUsed
Indicates that a particular sea area is utilized or occupied for a specific purpose or activity.
-
E.
marineResources
Indicates a relationship where one entity possesses, provides, or is associated with marine-based resources (such as fish, minerals, or other ocean-derived materials) used or managed by another entity.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f622e500288190a5bbfca6e65c30b2 |
completed | May 2, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:21 a.m.