Triple
T25937429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Famagusta |
E653596
|
entity |
| Predicate | languageOfAttackers |
P10179
|
FINISHED |
| Object | Ottoman Turkish |
—
|
NE NERFINISHED |
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: Ottoman Turkish | Statement: [Siege of Famagusta, languageOfAttackers, Ottoman Turkish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAttackers Context triple: [Siege of Famagusta, languageOfAttackers, Ottoman Turkish]
-
A.
languageOfVictims
Indicates the language or languages spoken or used by the victims involved in an event or situation.
-
B.
countryOfOriginOfAttackers
Indicates the country from which the attackers originated or are associated in the context of an attack.
-
C.
combatantLanguage
chosen
Indicates the language used by a combatant in a conflict or competitive interaction.
-
D.
objectiveOfAttackers
Indicates the target or goal that attackers aim to reach or affect through their attack.
-
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_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 22, 2026, 8:39 a.m.