Triple
T22583602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPAMI |
E564724
|
entity |
| Predicate | hasListName |
P109560
|
FINISHED |
| Object | List of Specially Protected Areas of Mediterranean Importance |
—
|
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: List of Specially Protected Areas of Mediterranean Importance | Statement: [SPAMI, hasListName, List of Specially Protected Areas of Mediterranean Importance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasListName Context triple: [SPAMI, hasListName, List of Specially Protected Areas of Mediterranean Importance]
-
A.
listsName
chosen
Indicates that an entity presents or enumerates the name of another entity, typically as part of a list or catalog.
-
B.
hasNaming
Indicates that one entity assigns, bears, or is associated with a specific name or designation provided by another entity.
-
C.
onNameTypeLists
Indicates that something appears on one or more lists that are categorized or organized by name type.
-
D.
hasListNamedAfterHim
Indicates that a person is honored by having a list (such as a catalog, index, or compilation) formally named after them.
-
E.
hasGivenNameTo
Indicates that one entity has assigned or provided a given (first) name to another entity.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615b4fa08190a8d2d66e01db429f |
completed | April 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:44 p.m.