Triple
T22526901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بين الأطلال |
E556928
|
entity |
| Predicate | زمن الأحداث |
P105686
|
FINISHED |
| Object | القرن العشرون |
—
|
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: القرن العشرون | Statement: [بين الأطلال, زمن الأحداث, القرن العشرون]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: زمن الأحداث Context triple: [بين الأطلال, زمن الأحداث, القرن العشرون]
-
A.
historicalEventsDescribed
Indicates that one entity (such as a document, text, or account) describes or recounts the historical events associated with another entity.
-
B.
timeOfEventCommemorated
Indicates the specific time or date at which the event being commemorated originally occurred.
-
C.
notableEventTime
chosen
Indicates the specific time at which a notable or significant event occurred.
-
D.
hasHistoricalEvent
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
E.
knowledgeOfPastEvents
Indicates that an entity is aware of or has information about events that occurred in the past.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.