Triple
T17876997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Alabama, New York |
E446979
|
entity |
| Predicate | hasEcosystemNearby |
P64234
|
FINISHED |
| Object | wetlands |
—
|
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: wetlands | Statement: [Town of Alabama, New York, hasEcosystemNearby, wetlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEcosystemNearby Context triple: [Town of Alabama, New York, hasEcosystemNearby, wetlands]
-
A.
hasNearbyHabitats
chosen
Indicates that one entity has other habitats located close to it in geographic or spatial terms.
-
B.
hasNearbyNatureReserve
Indicates that one place or entity is located close to a designated nature reserve.
-
C.
hasNearbyGreenSpace
Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
-
D.
hasNaturalParkNearby
Indicates that one entity is located close to, or in the vicinity of, a natural park associated with the other entity.
-
E.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa6d24081908212e10d07c85a2b |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:18 a.m.