Triple
T31785804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Contarini |
E811326
|
entity |
| Predicate | ageDuringWarOfChioggia |
P172297
|
FINISHED |
| Object | over 70 years old |
—
|
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: over 70 years old | Statement: [Andrea Contarini, ageDuringWarOfChioggia, over 70 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageDuringWarOfChioggia Context triple: [Andrea Contarini, ageDuringWarOfChioggia, over 70 years old]
-
A.
ageDuringRebellion
Indicates the age a person or entity was during the time of a specified rebellion.
-
B.
ageAtVictory
Indicates the age an individual or entity was when they achieved a particular victory or success.
-
C.
roleAtBattleOfLepanto
Indicates the specific role, position, or function an entity held or performed during the Battle of Lepanto.
-
D.
sideInBattleOfPavia
Indicates that an entity participated as a side (e.g., faction, army, or coalition) in the Battle of Pavia.
-
E.
reignDuringConflict
Indicates that a ruler’s period of reign overlaps in time with a specified conflict or war.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe872f88190beb7aff9ace13bbf |
completed | May 3, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69f6aa21f2508190a204a424ffc00ca6 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aac95c1481909fff33702d0a6c37 |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:37 p.m.