Triple
T28482121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikelgaita of Salerno |
E720721
|
entity |
| Predicate | yearOfBattleParticipation |
P10394
|
FINISHED |
| Object | 1081 |
—
|
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: 1081 | Statement: [Sikelgaita of Salerno, yearOfBattleParticipation, 1081]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfBattleParticipation Context triple: [Sikelgaita of Salerno, yearOfBattleParticipation, 1081]
-
A.
warParticipatedIn
Indicates that an entity took part as a combatant or active participant in a specific war or armed conflict.
-
B.
yearInConflict
Indicates the specific year or years during which a given conflict took place or was actively ongoing.
-
C.
yearOfBattle
chosen
Indicates the specific calendar year in which a particular battle took place.
-
D.
yearsOfMilitaryService
Indicates the number of years an entity has served or is recorded as serving in the military.
-
E.
alliedParticipation
Indicates that one entity takes part in or contributes to an activity, event, or effort in cooperation or alliance with another entity.
- 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_69f01a5a47148190b0a7e111bc432e0a |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 28, 2026, 2:56 a.m.