Triple
T4373752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chios massacre in 1822 |
E98955
|
entity |
| Predicate | numberOfEnslaved |
P56455
|
FINISHED |
| Object | tens of thousands |
—
|
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: tens of thousands | Statement: [Chios massacre in 1822, numberOfEnslaved, tens of thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEnslaved Context triple: [Chios massacre in 1822, numberOfEnslaved, tens of thousands]
-
A.
populationGroupEnslaved
Indicates that one population group is held in a condition of slavery or forced servitude by another.
-
B.
wasEnslavedIn
Indicates that an entity was held in a state of slavery within a specified place or context.
-
C.
wasFormerlyEnslaved
Indicates that an entity was previously held in a condition of slavery or bondage but is no longer enslaved.
-
D.
historicalPeriodOfEnslavement
Indicates the specific historical period during which an entity was subjected to enslavement.
-
E.
legalStatusOfSlavery
Indicates the legal condition or permissibility of slavery within a given jurisdiction, time, or context.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35220fa648190b116e786783a7eba |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:17 p.m.