Triple
T757004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichkeul National Park |
E15578
|
entity |
| Predicate | RamsarSite |
P19258
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ichkeul National Park, RamsarSite, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RamsarSite Context triple: [Ichkeul National Park, RamsarSite, true]
-
A.
RamsarSiteSince
Indicates that a location has held the status of a Ramsar wetland site since a specified date or point in time.
-
B.
hasUNESCOBiosphereReserve
Indicates that an entity includes, contains, or is associated with a designated UNESCO Biosphere Reserve.
-
C.
marineProtectedArea
Indicates that an area of marine or coastal waters is designated and managed to conserve natural resources and biodiversity, often restricting certain human activities.
-
D.
marineProtectedAreaManagingCountry
Indicates that a country is responsible for managing or overseeing a specific marine protected area.
-
E.
hydrologicallyLocatedIn
Indicates that a water-related feature (such as a river, lake, or watershed) is situated within or associated with a specific geographic or administrative area in terms of hydrology.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66ab4608190afcd81e6606c5116 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:37 p.m.