Triple
T1532432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Clara Island |
E32472
|
entity |
| Predicate | hasSurroundingWaters |
P29911
|
FINISHED |
| Object | Pacific marine ecosystem |
—
|
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: Pacific marine ecosystem | Statement: [Santa Clara Island, hasSurroundingWaters, Pacific marine ecosystem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingWaters Context triple: [Santa Clara Island, hasSurroundingWaters, Pacific marine ecosystem]
-
A.
adjacentToBodyOfWater
Indicates that one entity is directly next to or bordering a body of water, such as a lake, river, or ocean.
-
B.
locatedInBodyOfWater
Indicates that an entity is situated within or on the surface of a specific body of water.
-
C.
hasWaterBodyOnWest
Indicates that a specified entity has a water body located to its west.
-
D.
hasAreaWaterBody
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
-
E.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a933dce3488190b20f0e3d37d16371 |
completed | March 5, 2026, 7:42 a.m. |
Created at: March 4, 2026, 7:26 p.m.