Triple
T1645814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Islamic University Islamabad |
E35578
|
entity |
| Predicate | viceChancellorTitle |
P142
|
FINISHED |
| Object | President |
—
|
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: President | Statement: [International Islamic University Islamabad, viceChancellorTitle, President]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viceChancellorTitle Context triple: [International Islamic University Islamabad, viceChancellorTitle, President]
-
A.
principalAndViceChancellor
Indicates that one entity holds the role of principal while also serving as the vice chancellor of an institution in relation to another entity.
-
B.
hasViceChancellor
chosen
Indicates that one entity serves as the vice chancellor of another entity.
-
C.
servedAsViceChancellorUntil
Indicates that an individual held the position of vice chancellor up to a specified end date or time period.
-
D.
chancellorTitle
Indicates the official title or designation held by an individual serving in the role of chancellor.
-
E.
rectorOrPresident
Indicates that one entity serves as the rector or president (i.e., the chief executive or head) of another entity, typically an institution such as a university.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a919306fd48190a245fc95e0e759d9 |
completed | March 5, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69a907cc9d348190b76b0d3f596e5a81 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.