Triple
T23735070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balboa Island |
E586518
|
entity |
| Predicate | originallyMarshland |
P22049
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Balboa Island, originallyMarshland, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyMarshland Context triple: [Balboa Island, originallyMarshland, yes]
-
A.
originallyIn
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
B.
wetlandType
Indicates the specific classification or category of wetland associated with an entity.
-
C.
wasOriginally
chosen
Indicates that an entity had a particular state, form, type, or affiliation at an earlier time, which has since changed.
-
D.
hasWetlandsAtMouth
Indicates that a watercourse or water body has wetlands located at or surrounding its mouth where it meets another body of water.
-
E.
originallyHad
Indicates that an entity previously possessed, contained, or was associated with something before a change, loss, or transformation occurred.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad07bd08190b04d7a4c8732a856 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:10 p.m.