Triple
T10821785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Este |
E255386
|
entity |
| Predicate | lostFerraraInYear |
P47940
|
FINISHED |
| Object | 1598 |
—
|
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: 1598 | Statement: [House of Este, lostFerraraInYear, 1598]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostFerraraInYear Context triple: [House of Este, lostFerraraInYear, 1598]
-
A.
lostFederalRecognitionInYear
Indicates that an entity ceased to have official federal recognition in the specified year.
-
B.
lostAuthorityInYear
chosen
Indicates that an entity ceased to hold or exercise a particular authority in the specified year.
-
C.
lostByFinlandYear
Indicates the year in which Finland experienced a loss in the specified context (e.g., war, competition, or event).
-
D.
yearOfDisappearance
Indicates the specific year in which an entity disappeared or ceased to be present.
-
E.
seasonOfLosingTeam
Indicates the specific sports season during which the referenced team is characterized as the losing or defeated team in a competition or league.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7344ae2688190bceabf41c79d298d |
completed | April 9, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:18 p.m.