Triple
T37986096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henderson fruit dove |
E947691
|
entity |
| Predicate | islandTypeInhabited |
P17226
|
FINISHED |
| Object | raised coral atoll |
—
|
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: raised coral atoll | Statement: [Henderson fruit dove, islandTypeInhabited, raised coral atoll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandTypeInhabited Context triple: [Henderson fruit dove, islandTypeInhabited, raised coral atoll]
-
A.
islandType
chosen
Indicates the specific classification or category of an island based on its characteristics or formation.
-
B.
habitationStatusOfIsland
Indicates whether an island is inhabited, uninhabited, or otherwise characterized by a particular habitation status.
-
C.
islandBased
Indicates that something is located on, originates from, or is primarily associated with an island.
-
D.
hasNumberOfInhabitedIslands
Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
-
E.
onlyInhabitedIsland
Indicates that the subject is the sole inhabited island within a specified geographic or contextual set, with no other islands in that set having inhabitants.
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.