Triple
T544704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castro Marim |
E12705
|
entity |
| Predicate | hasWetlands |
P11765
|
FINISHED |
| Object | salt marshes |
—
|
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: salt marshes | Statement: [Castro Marim, hasWetlands, salt marshes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWetlands Context triple: [Castro Marim, hasWetlands, salt marshes]
-
A.
hasMarineEcosystem
chosen
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
-
B.
hasFloodplain
Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
-
C.
hasHydrologicalFunction
Indicates that something performs a role or action related to the movement, storage, or regulation of water within a hydrological system.
-
D.
hasMajorLake
Indicates that a geographic region or area contains at least one significant lake within its boundaries.
-
E.
hasHydrosphere
Indicates that an entity possesses or is characterized by a surrounding layer or system of water, such as oceans, seas, lakes, or other bodies of liquid water.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dfec5c81908b76d723b30dc2f0 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b8098481908097228db8ad0262 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.