Triple
T24170666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darrell’s Island |
E599118
|
entity |
| Predicate | partOfHarborOrSound |
P155574
|
FINISHED |
| Object | Great Sound, Bermuda |
—
|
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: Great Sound, Bermuda | Statement: [Darrell’s Island, partOfHarborOrSound, Great Sound, Bermuda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfHarborOrSound Context triple: [Darrell’s Island, partOfHarborOrSound, Great Sound, Bermuda]
-
A.
locatedInHarbourArea
Indicates that something is situated within the geographic or administrative boundaries of a harbour area.
-
B.
shapeOfHarbor
Indicates the geometric form or outline that characterizes a harbor’s physical configuration.
-
C.
stateOfHarbor
Indicates the current operational or physical condition or status of a harbor.
-
D.
harbours
Indicates that one entity provides shelter, refuge, or concealment for another, often by keeping it safe or hidden.
-
E.
hasHarbourEntrance
Indicates that an entity serves as the entrance or access point to a harbour for another entity.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 17, 2026, 11:33 p.m.