Triple
T20167808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beatrice of Provence |
E491871
|
entity |
| Predicate | startTime (rule of Provence) |
P138939
|
FINISHED |
| Object | 1245 |
—
|
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: 1245 | Statement: [Beatrice of Provence, startTime (rule of Provence), 1245]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (rule of Provence) Context triple: [Beatrice of Provence, startTime (rule of Provence), 1245]
-
A.
startTime (Rector of Masaryk University)
Indicates the point in time at which a person began serving as Rector of Masaryk University.
-
B.
startTime (Duke of Bavaria)
Indicates the point in time at which the person began holding the title or office of Duke of Bavaria.
-
C.
startTime (Archbishop of Mechelen-Brussels)
Indicates the point in time when someone began serving as Archbishop of Mechelen-Brussels.
-
D.
startTime (Duke of Saxony)
Indicates the point in time at which the individual became the Duke of Saxony.
-
E.
start time (Elector Palatine)
Indicates the point in time when an individual’s tenure or role as Elector Palatine begins.
- F. None of above. chosen
Provenance (4 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66845cb588190820c50eea0c40d83 |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:35 p.m.