Triple
T31820316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawainui Stream |
E812239
|
entity |
| Predicate | associatedWetland |
P186085
|
FINISHED |
| Object | Kawainui Marsh |
E232857
|
NE 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: Kawainui Marsh | Statement: [Kawainui Stream, associatedWetland, Kawainui Marsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWetland Context triple: [Kawainui Stream, associatedWetland, Kawainui Marsh]
-
A.
containsWetland
Indicates that one area or region includes within its boundaries a wetland ecosystem.
-
B.
wetlandSystem
chosen
Indicates that one entity is a wetland system associated with, containing, or characterizing the other entity.
-
C.
hasNearbyWetlandRegion
Indicates that a given location or area is situated close to, or in the vicinity of, a wetland region.
-
D.
wetlandType
Indicates the specific classification or category of wetland associated with an entity.
-
E.
formsWetland
Indicates that one entity creates, develops, or gives rise to a wetland environment in relation to another entity or location.
- F. None of above.
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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a212bc08190b6e37d3805fbd578 |
completed | June 14, 2026, 11:01 a.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:45 p.m.