Triple
T32371817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla Abtao |
E827157
|
entity |
| Predicate | hasNearbyChannelOrSound |
P111530
|
FINISHED |
| Object | Gulf of Ancud |
—
|
NE NERFINISHED |
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: Gulf of Ancud | Statement: [Isla Abtao, hasNearbyChannelOrSound, Gulf of Ancud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyChannelOrSound Context triple: [Isla Abtao, hasNearbyChannelOrSound, Gulf of Ancud]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
C.
hasNearbySourceOf
chosen
Indicates that one entity is located close enough to another entity to serve as a relevant or accessible source of it.
-
D.
hasSoundProjection
Indicates that one entity emits, directs, or projects sound toward or into another entity or space.
-
E.
hasNearbyMode
Indicates that one entity has another entity located close enough to be considered in its immediate vicinity or surrounding area.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff46afe7e481908f2862ed11c88db2 |
completed | May 9, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69ff45e9151881909c444a655e852165 |
completed | May 9, 2026, 2:34 p.m. |
Created at: May 1, 2026, 12:50 a.m.