Triple
T16448795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terraferma of Venice |
E399498
|
entity |
| Predicate | governedBy |
P46
|
FINISHED |
| Object | Rettori |
E934269
|
NE 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: Rettori | Statement: [Terraferma of Venice, governedBy, Rettori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rettori Context triple: [Terraferma of Venice, governedBy, Rettori]
-
A.
The Dean
The Dean is the popular nickname of Al Ittihad Club, one of Saudi Arabia’s oldest and most historically significant football teams.
-
B.
Rector
The Rector is the highest academic and administrative leader of the University of Tirana, responsible for overseeing its governance, strategy, and overall management.
-
C.
Rector
chosen
Rector is a surname of English origin borne by various individuals, including Harriet Amanda Rector.
-
D.
The Provost
The Provost is a shadowy, high-ranking operative in Dan Brown's thriller "Inferno," overseeing covert operations for a powerful private security organization.
-
E.
Professor Groeteschele
Professor Groeteschele is a hardline, hawkish nuclear strategist in the Cold War thriller "Fail Safe," known for his chillingly rational advocacy of preemptive nuclear war.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.