Triple
T5466254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rio Vista |
E122716
|
entity |
| Predicate | hasNearbyHabitats |
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: [Rio Vista, hasNearbyHabitats, wetlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyHabitats Context triple: [Rio Vista, hasNearbyHabitats, wetlands]
-
A.
hasNearbyNatureReserve
Indicates that one place or entity is located close to a designated nature reserve.
-
B.
hasNearbyWildernessArea
Indicates that a wilderness area is located within a close geographic proximity to the referenced place or entity.
-
C.
hasNearbyBirdStation
Indicates that one entity is located close to a bird observation or monitoring station associated with another entity.
-
D.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
E.
hasNearbyForestType
Indicates that one entity is located close to, or in the vicinity of, a forest of a specified type.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd927b0b4c81909d5e0f594822e3f9 |
completed | March 20, 2026, 6:31 p.m. |
Created at: March 20, 2026, 2:08 p.m.