Triple
T4725855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League of Nations mandates over former Ottoman Arab provinces |
E104881
|
entity |
| Predicate | beganAfterEvent |
P6702
|
FINISHED |
| Object | dissolution of the Ottoman Empire |
—
|
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: dissolution of the Ottoman Empire | Statement: [League of Nations mandates over former Ottoman Arab provinces, beganAfterEvent, dissolution of the Ottoman Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganAfterEvent Context triple: [League of Nations mandates over former Ottoman Arab provinces, beganAfterEvent, dissolution of the Ottoman Empire]
-
A.
createdAfterEvent
Indicates that the creation of one entity occurred after a specified event in time.
-
B.
tookPlaceAfter
chosen
Indicates that one event or occurrence happened later in time than another event or occurrence.
-
C.
existedBeforeEvent
Indicates that the subject entity was already in existence prior to the occurrence of the specified event.
-
D.
hasPrecedingEvents
Indicates that one or more events occurred earlier in time or sequence relative to the referenced event.
-
E.
chronologicallyAfter
Indicates that one event or state occurs later in time than another.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.