Triple
T3610473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Félix Island |
E76472
|
entity |
| Predicate | freshwaterAvailability |
P49936
|
FINISHED |
| Object | very limited |
—
|
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: very limited | Statement: [San Félix Island, freshwaterAvailability, very limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freshwaterAvailability Context triple: [San Félix Island, freshwaterAvailability, very limited]
-
A.
receivesFreshwaterFrom
Indicates that one entity is supplied with or obtains freshwater from another entity as its source.
-
B.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
C.
waterContains
Indicates that a body or volume of water holds, includes, or has within it a specified substance, object, or entity.
-
D.
hasFreshwaterSprings
Indicates that the subject contains or is associated with natural sources of freshwater emerging from the ground.
-
E.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22cac3c8190bc5f7c45d31668c1 |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.