Triple
T6505700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ميرامار |
E150000
|
entity |
| Predicate | زمن_الأحداث |
P2107
|
FINISHED |
| Object | ستينيات القرن العشرين |
—
|
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: ستينيات القرن العشرين | Statement: [ميرامار, زمن_الأحداث, ستينيات القرن العشرين]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: زمن_الأحداث Context triple: [ميرامار, زمن_الأحداث, ستينيات القرن العشرين]
-
A.
hasHistoricalEvent
chosen
Indicates that a historical event occurred in, is associated with, or is relevant to a particular entity.
-
B.
capitalEventDate
Indicates the date on which a capital-related event (such as establishment, designation, or change of capital status) occurred.
-
C.
timeOfEventCommemorated
Indicates the specific time or date at which the event being commemorated originally occurred.
-
D.
historicalFocus
Indicates that something is primarily concerned with, centered on, or devoted to a particular historical period, event, or theme.
-
E.
historicEventAlsoKnownAs
Indicates that a historic event is referred to by an alternative name or alias.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.