Triple
T25937427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Famagusta |
E653596
|
entity |
| Predicate | languageOfDefenders |
P10179
|
FINISHED |
| Object | Italian |
—
|
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: Italian | Statement: [Siege of Famagusta, languageOfDefenders, Italian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfDefenders Context triple: [Siege of Famagusta, languageOfDefenders, Italian]
-
A.
combatantLanguage
chosen
Indicates the language used by a combatant in a conflict or competitive interaction.
-
B.
languageOfOccupyingAuthorities
Indicates the language used by the authorities or powers that are occupying or controlling a territory.
-
C.
languageOfConquerors
Indicates that a language is associated with, used by, or imposed by a conquering group over the people or territory they have subjugated.
-
D.
languageUsedByOpponents
Indicates that a particular language is used by entities who are opponents in some context (e.g., conflict, competition, or rivalry).
-
E.
languageOfPrisoners
Indicates the language used or spoken by prisoners in a given context or setting.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 22, 2026, 8:39 a.m.