Triple
T5306555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNOSOM II |
E120115
|
entity |
| Predicate | relationshipToUNITAF |
P63392
|
FINISHED |
| Object | succeeded UNITAF and expanded its mandate |
—
|
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: succeeded UNITAF and expanded its mandate | Statement: [UNOSOM II, relationshipToUNITAF, succeeded UNITAF and expanded its mandate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToUNITAF Context triple: [UNOSOM II, relationshipToUNITAF, succeeded UNITAF and expanded its mandate]
-
A.
relationshipWithUN
Indicates the existence or nature of a formal or informal association, affiliation, or interaction between an entity and the United Nations.
-
B.
relationshipToUniversity
Indicates the type or nature of a person's or entity's connection or affiliation with a specific university.
-
C.
associatedUnitType
Indicates that one entity is linked to or characterized by a particular type or category of unit.
-
D.
relationshipToState
Indicates a relationship or connection that an entity has with a particular state or governmental body.
-
E.
associatedWithUnit
Indicates that one entity has a connection, linkage, or affiliation with a particular unit (such as a division, department, or organizational subunit).
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd86f0cbfc8190b6665dd9b28d6345 |
completed | March 20, 2026, 5:42 p.m. |
Created at: March 20, 2026, 1:53 p.m.