Triple
T3035779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fidra Lighthouse |
E83004
|
entity |
| Predicate | habitationStatusOfIsland |
P45137
|
FINISHED |
| Object | uninhabited |
—
|
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: uninhabited | Statement: [Fidra Lighthouse, habitationStatusOfIsland, uninhabited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: habitationStatusOfIsland Context triple: [Fidra Lighthouse, habitationStatusOfIsland, uninhabited]
-
A.
hasNumberOfInhabitedIslands
Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
-
B.
islandType
Indicates the specific classification or category of an island based on its characteristics or formation.
-
C.
inhabitedBy
Indicates that a place or location is lived in or occupied by a particular individual, group, or species.
-
D.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
-
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. 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2bb60c8190b1721f832f2581a1 |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 3:01 p.m.