Triple
T38020314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enderby Island |
E948609
|
entity |
| Predicate | archipelagoHasIsland |
P7765
|
FINISHED |
| Object | Dolphin Island |
—
|
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: Dolphin Island | Statement: [Enderby Island, archipelagoHasIsland, Dolphin Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: archipelagoHasIsland Context triple: [Enderby Island, archipelagoHasIsland, Dolphin Island]
-
A.
archipelagoType
Indicates the specific kind or classification of an archipelago based on its characteristics or formation.
-
B.
locatedInArchipelago
chosen
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
C.
includesArchipelago
Indicates that one geographic entity contains or encompasses an archipelago within its area or jurisdiction.
-
D.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
E.
hasNumberOfInhabitedIslands
Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: May 3, 2026, 4:20 p.m.