Triple
T6353944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gili Islands |
E142942
|
entity |
| Predicate | hasMarineStatus |
P70147
|
FINISHED |
| Object | popular dive destination in Indonesia |
—
|
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: popular dive destination in Indonesia | Statement: [Gili Islands, hasMarineStatus, popular dive destination in Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarineStatus Context triple: [Gili Islands, hasMarineStatus, popular dive destination in Indonesia]
-
A.
isMarine
Indicates that an entity lives in, is adapted to, or is primarily associated with the marine (ocean or sea) environment.
-
B.
hasSeaportStatus
Indicates that an entity possesses the status or designation of being a seaport or having seaport facilities.
-
C.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
D.
marineProtectionStatus
Indicates the level or type of legal or regulatory protection applied to a marine area or resource.
-
E.
hasMarineManagement
Indicates that an entity exercises authority or responsibility over the planning, regulation, or stewardship of marine areas or resources.
- F. None of above. chosen
Provenance (4 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e0cf1081908ee7e83b9dcf740e |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:31 p.m.