Triple
T1553273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mass Audubon Drumlin Farm |
E33140
|
entity |
| Predicate | typeOfSanctuary |
P4224
|
FINISHED |
| Object | land and wildlife sanctuary |
—
|
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: land and wildlife sanctuary | Statement: [Mass Audubon Drumlin Farm, typeOfSanctuary, land and wildlife sanctuary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSanctuary Context triple: [Mass Audubon Drumlin Farm, typeOfSanctuary, land and wildlife sanctuary]
-
A.
hasSanctuary
Indicates that one entity provides or serves as a place of refuge, protection, or safe haven for another entity.
-
B.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
C.
typeSpecies
Indicates that a species is the designated type species that defines and anchors the taxonomic concept of a higher-level group (such as a genus).
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
typeOf
chosen
Indicates that one entity is a specific kind, class, or category instance of another more general 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.