Triple
T26274905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Naze headland |
E660538
|
entity |
| Predicate | SSSIInterestType |
P152915
|
FINISHED |
| Object | biological |
—
|
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: biological | Statement: [The Naze headland, SSSIInterestType, biological]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SSSIInterestType Context triple: [The Naze headland, SSSIInterestType, biological]
-
A.
monarchInterestType
Indicates the type or category of interest or concern that a monarch has in relation to something.
-
B.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
C.
hasInterestType
chosen
Indicates that an entity is associated with a specific category or type of interest it holds or is concerned with.
-
D.
hasHeritageInterest
Indicates that something is recognized as having cultural, historical, or heritage-related significance or value.
-
E.
heritageSiteTypeNearby
Indicates that a particular type of heritage site is located in close proximity to the referenced entity.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e33c5748190abaa09d9b0c4c00a |
completed | May 2, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 9:54 p.m.