Triple
T23761523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Anne’s Drive |
E587260
|
entity |
| Predicate | hasAssociatedHabitat |
P153866
|
FINISHED |
| Object | coastal marshes |
—
|
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: coastal marshes | Statement: [Lady Anne’s Drive, hasAssociatedHabitat, coastal marshes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedHabitat Context triple: [Lady Anne’s Drive, hasAssociatedHabitat, coastal marshes]
-
A.
containsSpeciesWithHabitat
Indicates that an entity includes one or more species that are associated with a particular habitat.
-
B.
usesHabitatFeature
Indicates that an organism makes use of a particular habitat feature (such as a structure, resource, or microhabitat) as part of its behavior or life history.
-
C.
hasNearbyHabitats
Indicates that one entity has other habitats located close to it in geographic or spatial terms.
-
D.
isMajorHabitatFor
Indicates that one entity serves as a primary or significant natural living environment for another entity.
-
E.
hasHabitatQuality
Indicates that an entity (such as a habitat or location) possesses a certain level or characteristic of habitat quality relevant to another entity or ecological context.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb289508190a4a1049762102794 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:14 p.m.