Triple
T28834387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جامعة النجاح الوطنية |
E728137
|
entity |
| Predicate | تاريخ التأسيس |
P4025
|
FINISHED |
| Object | 1977 |
—
|
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: 1977 | Statement: [جامعة النجاح الوطنية, تاريخ التأسيس, 1977]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاريخ التأسيس Context triple: [جامعة النجاح الوطنية, تاريخ التأسيس, 1977]
-
A.
eraOfEstablishment
Indicates the time period or historical era during which an entity was founded or established.
-
B.
foundedAt
chosen
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
C.
monthOfFormation
Indicates the specific calendar month in which an entity (such as an organization or group) was formally established or created.
-
D.
foundingAround
Indicates that an entity was founded at approximately, but not exactly, the specified time or within a loosely defined surrounding period.
-
E.
foundedInOrBefore
Indicates that the founding of one entity occurred in a specified year or any earlier year.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596cb08c8190908072a531179743 |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:38 a.m.