Triple
T31785802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrea Contarini |
E811326
|
entity |
| Predicate | roleInWarOfChioggia |
P201261
|
FINISHED |
| Object | organized defense and counteroffensive against Genoa |
—
|
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: organized defense and counteroffensive against Genoa | Statement: [Andrea Contarini, roleInWarOfChioggia, organized defense and counteroffensive against Genoa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWarOfChioggia Context triple: [Andrea Contarini, roleInWarOfChioggia, organized defense and counteroffensive against Genoa]
-
A.
roleAtBattleOfLepanto
Indicates the specific role, position, or function an entity held or performed during the Battle of Lepanto.
-
B.
roleInBattleOfSluys
Indicates the specific role or involvement an entity had in the Battle of Sluys.
-
C.
roleInBattleOfNavarino
Indicates the specific role or involvement an entity had in the Battle of Navarino.
-
D.
ageDuringWarOfChioggia
Indicates the age a person was during the period of the War of Chioggia.
-
E.
roleAtBattleOfIquique
Indicates the specific role or function an entity held during the Battle of Iquique.
- 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_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
| PDg | Predicate description generation | batch_69ffe22f453c81909867ee2d2047636f |
completed | May 10, 2026, 1:41 a.m. |
Created at: April 30, 2026, 11:37 p.m.