Triple
T15580383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Campana–Peñuelas Biosphere Reserve |
E374478
|
entity |
| Predicate | hasTransitionArea |
P112428
|
FINISHED |
| Object | surrounding agricultural lands |
—
|
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: surrounding agricultural lands | Statement: [La Campana–Peñuelas Biosphere Reserve, hasTransitionArea, surrounding agricultural lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitionArea Context triple: [La Campana–Peñuelas Biosphere Reserve, hasTransitionArea, surrounding agricultural lands]
-
A.
hasNavigationArea
Indicates that an entity is associated with or includes a designated area intended for navigation or movement.
-
B.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
C.
hasMacroArea
Indicates that one entity belongs to, or is located within, a broader geographic or conceptual macro-area represented by another entity.
-
D.
passesThroughArea
Indicates that an entity moves or extends through the spatial region defined by another entity or area.
-
E.
hasAreaConnections
chosen
Indicates that an entity is linked to one or more surrounding or related areas, typically representing spatial or regional connections between them.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.