Triple
T9099423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahía de Loreto National Park |
E218112
|
entity |
| Predicate | marineCoverage |
P2021
|
FINISHED |
| Object | mostly marine area with small terrestrial portions |
—
|
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: mostly marine area with small terrestrial portions | Statement: [Bahía de Loreto National Park, marineCoverage, mostly marine area with small terrestrial portions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineCoverage Context triple: [Bahía de Loreto National Park, marineCoverage, mostly marine area with small terrestrial portions]
-
A.
marineArea
Indicates a relationship where an entity is located in, associated with, or relevant to a specific marine or oceanic area.
-
B.
hasOceanCoverage
chosen
Indicates that a specified area or region is covered by ocean to a certain extent or proportion.
-
C.
maritimeDomain
Indicates a relationship or activity that occurs within, affects, or is specifically associated with the maritime domain (seas, oceans, and related maritime operations).
-
D.
appliesToSeaArea
Indicates that something (such as a rule, restriction, or designation) is relevant or valid within a specified sea area.
-
E.
usesAtSea
Indicates that something is employed, operated, or applied in a maritime or oceanic environment.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9710ac04819096b9c8d3399b9c35 |
completed | April 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:15 p.m.