Triple
T8958537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchena Island |
E213538
|
entity |
| Predicate | hasTerrestrialHabitat |
P85877
|
FINISHED |
| Object | arid zone vegetation |
—
|
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: arid zone vegetation | Statement: [Marchena Island, hasTerrestrialHabitat, arid zone vegetation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerrestrialHabitat Context triple: [Marchena Island, hasTerrestrialHabitat, arid zone vegetation]
-
A.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
B.
containsTerrestrialMembers
Indicates that the set or group in question includes one or more members that live or occur on land (i.e., are terrestrial).
-
C.
areArboreal
Indicates that the subject lives primarily in trees or spends most of its life in an arboreal environment.
-
D.
isLandBird
Indicates that the subject is a bird species that primarily lives on land rather than in aquatic or marine environments.
-
E.
hasTerrestrialArea
Indicates that an entity possesses a specified extent of land area on the Earth's surface.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc672b12b48190a9d964f79b96d237 |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f887108819096d45a186fc137b3 |
completed | March 31, 2026, 11:58 p.m. |
Created at: March 30, 2026, 7 p.m.