Triple
T23942766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tukang Besi Islands |
E602827
|
entity |
| Predicate | marineBiodiversityStatus |
P145351
|
FINISHED |
| Object | high biodiversity |
—
|
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: high biodiversity | Statement: [Tukang Besi Islands, marineBiodiversityStatus, high biodiversity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineBiodiversityStatus Context triple: [Tukang Besi Islands, marineBiodiversityStatus, high biodiversity]
-
A.
marineBiodiversityLevel
chosen
Indicates the degree or richness of species variety and ecological complexity present within a marine environment.
-
B.
marineLifeTrend
Indicates a change over time in the abundance, health, or distribution of marine life populations.
-
C.
biodiversityStatus
Indicates the current condition or level of biological diversity associated with an entity, often in terms of richness, health, or conservation concern.
-
D.
primaryMarineSpeciesObserved
Indicates that the specified marine species is the main or most frequently observed species in a given observation or survey context.
-
E.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02bf38081909c99b98e04a8d2aa |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:10 p.m.