Triple
T36344487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coiba National Park |
E895023
|
entity |
| Predicate | formerUseOfMainIsland |
P202572
|
FINISHED |
| Object | penal colony |
—
|
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: penal colony | Statement: [Coiba National Park, formerUseOfMainIsland, penal colony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerUseOfMainIsland Context triple: [Coiba National Park, formerUseOfMainIsland, penal colony]
-
A.
historicalUseNearbyIslands
Indicates that the subject has historically used nearby islands, such as for resources, settlement, travel, or strategic purposes.
-
B.
isMainIsland
Indicates that an island is the primary or most significant island within a group, region, or country.
-
C.
observedOnMainIsland
Indicates that the observation or occurrence of something took place specifically on the main island, as opposed to surrounding or subsidiary islands.
-
D.
oneOfMainIslands
Indicates that the subject entity is one of the primary or principal islands within a specified group or region.
-
E.
originatesFromIsland
Indicates that the subject has its origin or source located on an island.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a009273634c8190b5b9c87053b56760 |
completed | May 10, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_6a0092171230819096e4274dd97e0410 |
completed | May 10, 2026, 2:11 p.m. |
| PDg | Predicate description generation | batch_6a009272afc88190a041b7e16d851599 |
completed | May 10, 2026, 2:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.