Triple
T10287556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Compact on Refugees |
E241270
|
entity |
| Predicate | firstGlobalRefugeeForumYear |
P93269
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Global Compact on Refugees, firstGlobalRefugeeForumYear, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGlobalRefugeeForumYear Context triple: [Global Compact on Refugees, firstGlobalRefugeeForumYear, 2019]
-
A.
firstInternationalYear
Indicates that the referenced year is the first year in which the entity participated in or was involved in an international context or activity.
-
B.
yearOfAsylum
Indicates the specific year in which an entity was granted or obtained asylum.
-
C.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
D.
approximateNumberOfRefugeesTransported
Indicates an estimated count of refugees who were transported in the described event or context.
-
E.
UNESCOTransferYear
Indicates the year in which responsibility, ownership, or designation of something was formally transferred under the authority or framework of UNESCO.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:40 a.m.