Triple
T9633607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islanders |
E232867
|
entity |
| Predicate | associatedPlaceType |
P16688
|
FINISHED |
| Object | island community |
—
|
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: island community | Statement: [Islanders, associatedPlaceType, island community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedPlaceType Context triple: [Islanders, associatedPlaceType, island community]
-
A.
relatedPlace
Indicates a relationship where one place is connected or associated with another place in a relevant or meaningful way.
-
B.
placeType
chosen
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
C.
relatedAttraction
Indicates that one attraction is associated with or connected to another attraction in some relevant way.
-
D.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
E.
placesWithin
Indicates that one place or area is located entirely inside the boundaries of another place or 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.