Triple
T38209213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parrog |
E1009290
|
entity |
| Predicate | coastManagementDesignation |
P32974
|
FINISHED |
| Object | within national park coastal zone |
—
|
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: within national park coastal zone | Statement: [Parrog, coastManagementDesignation, within national park coastal zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coastManagementDesignation Context triple: [Parrog, coastManagementDesignation, within national park coastal zone]
-
A.
hasCoastlineDesignation
chosen
Indicates that a geographic area’s coastline has been assigned a specific official classification or status.
-
B.
coastTypeProtected
Indicates that a coastline is designated as protected, such as through conservation status, legal safeguards, or restricted human use.
-
C.
seaAreaDesignation
Indicates the specific legal or administrative sea area classification that has been assigned to a given marine region.
-
D.
earthDesignation
Indicates that an entity has a specific name or label assigned to it for use in an Earth-based or human-centric context.
-
E.
environmentDesignation
Indicates that an entity is assigned a specific environmental classification or status within a given context.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.